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The Vintage Software Collection

The Vintage Software collection gathers various efforts by groups to classify, preserve, and provide historical software. These older programs, many of them running on defunct and rare hardware, are provided for purposes of study, education, and historical reference.

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A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Overview Concepts Setup Usage API To Do Contributing Overview Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your...
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by facebookresearch
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Reading Wikipedia to Answer Open-Domain Questions DrQA This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions . Machine Reading at Scale DrQA is a system for reading comprehension applied to open-domain question answering. In particular, DrQA is targeted at the task of "machine reading at scale" (MRS). In this setting, we are searching for an answer to a question in a potentially very large corpus of...
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Facebook AI Research Automatic Speech Recognition Toolkit wav2letter wav2letter is a simple and efficient end-to-end Automatic SpeechRecognition (ASR) system from Facebook AI Research. The original authors ofthis implementation are Ronan Collobert, Christian Puhrsch, GabrielSynnaeve, Neil Zeghidour, and Vitaliy Liptchinsky. wav2letter implements the architecture proposed in Wav2Letter: an End-to-End ConvNet-based Speech Recognition System and Letter-Based Speech Recognition with Gated ConvNets...
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by facebookresearch
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A library for Multilingual Unsupervised or Supervised word Embeddings MUSE: Multilingual Unsupervised and Supervised Embeddings MUSE is a Python library for multilingual word embeddings , whose goal is to provide the community with:* state-of-the-art multilingual word embeddings based on fastText * large-scale high-quality bilingual dictionaries for training and evaluation We include two methods, one supervised that uses a bilingual dictionary or identical character strings, and one...
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Countering Adversarial Image using Input Transformations. Countering Adversarial Images Using Input Transformations Overview This package implements the experiments described in the paper Countering Adversarial Images Using Input Transformations .It contains implementations for adversarial attacks , defenses based image transformations , training , and testing convolutional networks under adversarial attacks using our defenses. We also provide pre-trained models . If you use this code, please...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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Download the bundle facebookresearch-pytorch_GAN_zoo_-_2019-04-10_12-31-51.bundle and run: git clone facebookresearch-pytorch_GAN_zoo_-_2019-04-10_12-31-51.bundle -b master A mix of GAN implementations including progressive growing Pytorch GAN Zoo A GAN toolbox for researchers and developers with:- Progressive Growing of GAN(PGAN): https://arxiv.org/pdf/1710.10196.pdf- DCGAN: https://arxiv.org/pdf/1511.06434.pdf- To come: StyleGAN https://arxiv.org/abs/1812.04948 Picture: Generated samples from...
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A library for Multilingual Unsupervised or Supervised word Embeddings MUSE: Multilingual Unsupervised and Supervised Embeddings MUSE is a Python library for multilingual word embeddings , whose goal is to provide the community with:* state-of-the-art multilingual word embeddings based on fastText * large-scale high-quality bilingual dictionaries for training and evaluation We include two methods, one supervised that uses a bilingual dictionary or identical character strings, and one...
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by facebookresearch
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Download the bundle facebookresearch-LASER_-_2019-01-22_23-40-15.bundle and run: git clone facebookresearch-LASER_-_2019-01-22_23-40-15.bundle -b master Language-Agnostic SEntence Representations LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. MAJOR UPDATE: * We now provide an encoder which was trained on 93 languages , written in 23 different alphabets [6]. This includes all European languages, many Asian and Indian...
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Download the bundle facebookresearch-nevergrad_-_2018-12-23_10-30-42.bundle and run: git clone facebookresearch-nevergrad_-_2018-12-23_10-30-42.bundle -b master A Python toolbox for performing gradient-free optimization Nevergrad - A gradient-free optimization platform nevergrad is a Python 3.6+ library. It can be installed with: pip3 install git+https://github.com/facebookresearch/nevergrad@master#egg=nevergrad Alternatively, you can clone the repository and run python3 setup.py develop from...
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Download the bundle facebookresearch-wav2letter_-_2018-12-22_23-16-39.bundle and run: git clone facebookresearch-wav2letter_-_2018-12-22_23-16-39.bundle -b master Facebook AI Research Automatic Speech Recognition Toolkit wav2letter++ wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research.It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency.Our approach is detailed...
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An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games ELF: An Extensive, Lightweight and Flexible Platform for Game Research Overview ELF is an E xtensive, L ightweight and F lexible platform for game research, in particular for real-time strategy (RTS) games. On the C++-side, ELF hosts multiple games in parallel with C++ threading. On the Python side, ELF returns one batch of game state at a time, making it very friendly for modern RL. On the other hand, in...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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Facebook AI Research Automatic Speech Recognition Toolkit wav2letter wav2letter is a simple and efficient end-to-end Automatic SpeechRecognition (ASR) system from Facebook AI Research. The original authors ofthis implementation are Ronan Collobert, Christian Puhrsch, GabrielSynnaeve, Neil Zeghidour, and Vitaliy Liptchinsky. wav2letter implements the architecture proposed in Wav2Letter: an End-to-End ConvNet-based Speech Recognition System and Letter-Based Speech Recognition with Gated ConvNets...
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Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017 FaderNetworks PyTorch implementation of Fader Networks (NIPS 2017). Fader Networks can generate different realistic versions of images by modifying attributes such as gender or age group. They can swap multiple attributes at a time, and continuously interpolate between each attribute value. In this repository we provide the code to reproduce the results presented in the paper, as well as trained models. Single-attribute swap...
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Facebook AI Research Automatic Speech Recognition Toolkit wav2letter wav2letter is a simple and efficient end-to-end Automatic SpeechRecognition (ASR) system from Facebook AI Research. The original authors ofthis implementation are Ronan Collobert, Christian Puhrsch, GabrielSynnaeve, Neil Zeghidour, and Vitaliy Liptchinsky. wav2letter implements the architecture proposed in Wav2Letter: an End-to-End ConvNet-based Speech Recognition System and Letter-Based Speech Recognition with Gated ConvNets...
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Go tools for working with libpostal (sometimes in the service of Who's On First) go-whosonfirst-libpostal Go tools for working with libpostal (sometimes in the service of Who's On First) Install make bin wof-libpostal-server ```$> wof-libpostal-server -options Usage of wof-libpostal-server: -gracehttp.log Enable logging. (default true) -host string The hostname to listen for requests on (default "localhost") -port int The port number to listen for requests on (default 8080)``` Note...
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Non-local Neural Networks for Video Classification Non-local Neural Networks for Video Classification This code is a re-implementation of the video classification experiments in the paper Non-local Neural Networks . The code is developed based on the Caffe2 framework. License The code and the models in this repo are released under the CC-BY-NC 4.0 LICENSE . Citation If you use our code in your research or wish to refer to the baseline results, please use the following BibTeX entry....
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Non-local Neural Networks for Video Classification Non-local Neural Networks for Video Classification This code is a re-implementation of the video classification experiments in the paper Non-local Neural Networks . The code is developed based on the Caffe2 framework. License The code and the models in this repo are released under the CC-BY-NC 4.0 LICENSE . Citation If you use our code in your research or wish to refer to the baseline results, please use the following BibTeX entry....
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Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017 FaderNetworks PyTorch implementation of Fader Networks (NIPS 2017). Fader Networks can generate different realistic versions of images by modifying attributes such as gender or age group. They can swap multiple attributes at a time, and continuously interpolate between each attribute value. In this repository we provide the code to reproduce the results presented in the paper, as well as trained models. Single-attribute swap...
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Github Mirror by Narabot
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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Github Mirror by Narabot
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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Github Mirror by Narabot
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Countering Adversarial Image using Input Transformations. Countering Adversarial Images Using Input Transformations Overview This package implements the experiments described in the paper Countering Adversarial Images Using Input Transformations .It contains implementations for adversarial attacks , defenses based image transformations , training , and testing convolutional networks under adversarial attacks using our defenses. We also provide pre-trained models . If you use this code, please...
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Github Mirror by Narabot
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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Github Mirror by Narabot
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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Where things are (and what they mean) in Who's On First. whosonfirst-placetypes Where things are (and what they mean) in Who's On First Roles For any hierarchy of place types we have identified three “roles” that any one of those place types can fall into. That doesn't mean there can't be others (roles or place types) only that these are the ones we've identified as a good place to start. Common (C) These are, well, common across any hierarchy for any place in Who's On First. This part is...
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PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations" To restore the repository download the bundle wget https://archive.org/download/github.com-facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48/facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48.bundle and run: git clone facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48.bundle Source: https://github.com/facebookresearch/poincare-embeddings Uploader:...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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What things are called in Who's On First whosonfirst-names What things are called in Who's On First Names and aliases (and languages) – aka RFC 5646 Who's On First uses a variation of RFC 5646 for identifying names. The W3C's Language tags in HTML and XML page describes RFC 5646 like this: RFC 5646 caters for more types of subtag, and allows you to combine them in various ways. While this may appear to make life much more complicated, generally speaking choosing language tags will continue to...
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This is where we will think about time for Who's On First documents. Which is hard. Because it can not be denied... whosonfirst-dates This is where we will think about time. Which is hard. Because it can not be denied... EDTF The decision to use the Library of Congress' Extended Date/Time Format (EDTF)for dates in Who's On First has not^H^H^H^H almost been formalized. Generally, it seems like a goodidea. There are not many working implementations for handling EDTF date strings incode which is...
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Go package for doing IP address to Who's On First record lookups go-whosonfirst-iplookup Go package for doing IP address lookups with Who's On First "standard place results" Install You will need to have both Go (specifically a version of Go more recent than 1.6 so let's just assume you need Go 1.8 or higher) and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory....
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Present SlowFast networks for video recognition. PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models, including papers " SlowFast Networks for Video Recognition ", and " Non-local Neural Networks ". Introduction The goal of PySlowFast is to provide a high-performance, light-weight pytorch codebase provides state-of-the-art video backbones for video understanding research. It is designed in...
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Simple Python wrapper for managing Who's On First data sources py-mapzen-whosonfirst-sources Simple Python wrapper for managing Who's On First data sources Install sudo pip install -r requirements.txt . Usage Please write me Tools wof-sources-lookup ./scripts/wof-sources-lookup gn geoplanet 404734209 atgovINFO:root:gn is valid: TrueINFO:root:get gn by name NoneINFO:root:get gn by prefix GeoNames (gn:id)INFO:root:geoplanet is valid: TrueINFO:root:get geoplanet by name Yahoo! GeoPlanet...
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Python tools for working with languages (specifically RFC-5646 and ISO-639) and Who's On First data py-mapzen-whosonfirst-languages Python tools for working with languages (specifically RFC-5646 and ISO-639) and Who's On First data Install sudo pip install -r requirements.txt . Important This is not feature complete and does not account for all of the possible region + extlang combinations. As it is written it accounts only for the simplest of use cases. There is more work to be done. Usage...
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Download the bundle facebookresearch-flashlight_-_2018-12-23_01-17-27.bundle and run: git clone facebookresearch-flashlight_-_2018-12-23_01-17-27.bundle -b master A C++ standalone library for machine learning flashlight flashlight is a fast, flexible machine learning library written entirely in C++from FAIR Speech Team and the creators of Torch and DeepSpeech. It uses the ArrayFire tensor library and featuresjust-in-time compilation with modern C++. We support both CPU and GPU backendsfor...
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Python libraries (targeted at but not specific to Who's On First data) for working with mapshaper's CLI interface. py-mapzen-whosonfirst-mapshaper Python libraries (targeted at but not specific to Who's On First data) for working with mapshaper's CLI interface. Install sudo pip install -r requirements.txt . Important You will need to install and configure Mapshaper yourself. There are a few rudimentary hints but most of those details are outside the scope of this document. Usage Simple...
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Detectron2 is FAIR's next-generation research platform for object detection and segmentation. Detectron2 is Facebook AI Research's next generation software systemthat implements state-of-the-art object detection algorithms.It is a ground-up rewrite of the previous version, Detectron ,and it originates from maskrcnn-benchmark . What's New It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, densepose, Cascade R-CNN, rotated bounding boxes,...
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Detectron2 is FAIR's next-generation research platform for object detection and segmentation. Detectron2 is Facebook AI Research's next generation software systemthat implements state-of-the-art object detection algorithms.It is a ground-up rewrite of the previous version, Detectron ,and it originates from maskrcnn-benchmark . What's New It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, densepose, Cascade R-CNN, rotated bounding boxes,...
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Go package for working with Who's On First documents and MaxMind DB files. go-whosonfirst-mmdb Go package for working with Who's On First documents and MaxMind DB files. Install You will need to have both Go (specifically a version of Go more recent than 1.6 so let's just assume you need Go 1.8 or higher) and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. Important It's...
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Go package for working with Who's On First documents and SQLite databases. go-whosonfirst-sqlite Go package for working with Who's On First documents and SQLite databases. Install You will need to have both Go (specifically a version of Go more recent than 1.6 so let's just assume you need Go 1.8 or higher) and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. Example Simple...
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Python tools for working with MaxMind GeoIP data and Who's On First documents py-mapzen-whosonfirst-maxmind Python tools for working with MaxMind GeoIP data and Who's On First documents Setup sudo pip install -r requirements.txt . Important It's probably still too soon. Usage This section is incomplete. This package is meant to be used in concert with the following other (not-Perl) packages: https://github.com/whosonfirst/p5-Whosonfirst-MaxMind-Writer...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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An in-memory point-in-polygon (reverse geocoding) package for Who's On First data go-whosonfirst-pip An in-memory point-in-polygon (reverse geocoding) package for Who's On First data Important This package is no longer being actively maintained. The new-new is now happening in the go-whosonfirst-pip-v2 package. I'm not super thrilled about it either but trying to maintain a fully backward-compatible interface across all the things started to smell like quicksand and yak-hair. The future is a...
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A framework for Privacy Preserving Machine Learning CrypTen is a framework for Privacy Preserving Machine Learning built on PyTorch.Its goal is to make secure computing techniques accessible to Machine Learning practitioners.It currently implements Secure Multiparty Computation as its secure computing backend and offers three main benefits to ML researchers: It is machine learning first. The framework presents the protocols via a CrypTensor object that looks and feels exactly like a PyTorch...
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Python library for working with spatial databases (and services) and Who's On First documents. py-mapzen-whosonfirst-spatial Python library for working with spatial databases (and services) and Who's On First documents. Install sudo pip install -r requirements.txt . Caveats In an effort to make using this library in as broad a fashion as possible specific dependencies for the PostGIS "interfaces" have been excluded from the package's requirements.txt file because they depend on a...
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This is not ready to use. It is still being tested. It will probably be renamed. go-whosonfirst-pgis Important This is not ready to use. It is still being tested. It will probably be renamed. This is a compliment-cum-alternative to the go-whosonfirst-tile38 package which is having trouble managing the volume of data (see PGSQL table schema below) we are trying to throw at it. The same basic logic around what is indexed is shared between both the Tile38 and PGIS packages. In that way both...
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Hydra is a framework for elegantly configuring complex applications Hydra A framework for elegantly configuring complex applications. Check the website for more information. License Hydra is licensed under MIT License . To restore the repository download the bundle wget https://archive.org/download/github.com-facebookresearch-hydra_-_2019-10-06_07-21-08/facebookresearch-hydra_-_2019-10-06_07-21-08.bundle and run: git clone facebookresearch-hydra_-_2019-10-06_07-21-08.bundle Source:...
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Python tools for indexing Who's On First documents. py-mapzen-whosonfirst-index Python tools for indexing Who's On First documents. Caveats DO NOT USE THIS YET. NO. This is not ready for general purpose usage yet. To restore the repository download the bundle wget https://archive.org/download/github.com-whosonfirst-py-mapzen-whosonfirst-index_-_2016-01-30_02-36-16/whosonfirst-py-mapzen-whosonfirst-index_-_2016-01-30_02-36-16.bundle and run: git clone...
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whosonfirst.mapzen.com – it's a website. whosonfirst-www whosonfirst.mapzen.com – it's a website. What is going on in here? This is one of those static website generators, with lowest-common-denominator dependencies. The very short version is that a Makefile turns concatinates many smaller bits of HTML into a site structure that we can upload to the Internet. Makefile - a whole lotta curl and cat and sed that makes it all go. pages/ - each section of the site has its own sub-makefile (e.g.,...
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PyTorch original implementation of Cross-lingual Language Model Pretraining. XLM PyTorch original implementation of Cross-lingual Language Model Pretraining . Provides a cross-lingual implementation of BERT, with state-of-the-art results on XNLI, and unsupervised MT.Provides a monolingual implementation of BERT, with better performance on the GLUE benchmark. Model | Score | CoLA | SST2 | MRPC | STS-B | QQP | MNLI m | MNLI mm | QNLI | RTE | WNLI | AX|:---: |:---: |:---: | :---: |:---: | :---: |...
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Who's On First utilities for working with the lieu toolchain. py-mapzen-whosonfirst-lieu Who's On First utilities for working with the lieu toolchain. Install sudo pip install -r requirements.txt . IMPORTANT This library is provided as-is, right now. It lacks properdocumentation which will probably make it hard for you to use unlessyou are willing to poke and around and investigate things on yourown. See also https://github.com/openvenues/libpostal https://github.com/openvenues/lieu To restore...
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Go package for working with Who's On First (Mapzen Places) API. go-whosonfirst-api Go package for working with the Who's On First (Mapzen Places) API . Install You will need to have both Go (specifically a version of Go more recent than 1.6 so let's just assume you need Go 1.8 or higher) and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. Usage Note that all error handling in...
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Detectron2 is FAIR's next-generation research platform for object detection and segmentation. Detectron2 is Facebook AI Research's next generation software systemthat implements state-of-the-art object detection algorithms.It is a ground-up rewrite of the previous version, Detectron ,and it originates from maskrcnn-benchmark . What's New It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, densepose, Cascade R-CNN, rotated bounding boxes,...
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A generic LIFO pool safe to use with goroutines go-whosonfirst-pool A generic LIFO pool derived from Simon Waldherr's example code . This implementation is safe to use with goroutines. Usage Simple ```import ( "fmt" pool "github.com/whosonfirst/go-whosonfirst-pool") func main() { p := pool.NewLIFOPool() i := pool.PoolInt{Int:int64(123)} p.Push(i) v, ok := p.Pop() if ok { fmt.Printf("%d", v.IntValue()) } }``` Less simple The LIFOPool expects and returns...
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Present SlowFast networks for video recognition. PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models, including papers " SlowFast Networks for Video Recognition ", and " Non-local Neural Networks ". Introduction The goal of PySlowFast is to provide a high-performance, light-weight pytorch codebase provides state-of-the-art video backbones for video understanding research. It is designed in...
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Instructions and How-To Documentation for Who's on First Instructions and Documentation for Who's on First This repository contains instructions, how-to guides, and definitions for Mapzen's Who's on First project. The whosonfirst-cookbook repository is a collection of these documents, broken into three directories. Contents of this repository include the following: _images : Supporting images for documents in this repository. definition : A collection of files that define Who's On First related...
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Hydra is a framework for elegantly configuring complex applications Hydra A framework for elegantly configuring complex applications. Check the website for more information. License Hydra is licensed under MIT License . To restore the repository download the bundle wget https://archive.org/download/github.com-facebookresearch-hydra_-_2019-10-13_21-58-02/facebookresearch-hydra_-_2019-10-13_21-58-02.bundle and run: git clone facebookresearch-hydra_-_2019-10-13_21-58-02.bundle Source:...
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Go package for working with Who's On First GitHub repositories. go-whosonfirst-github Go package for working with Who's On First GitHub repositories. Tools Webhooks All of the webhook tools need some documentation loving... wof-create-hook Please write me ./bin/wof-create-hook -token {TOKEN} -hook-url {URL} -hook-secret {SECRET} -org whosonfirst-data -repo whosonfirst-data-venue-us-il You can also create webhooks for all of the repositories in an organization by passing the -repo '*' flag. You...
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Library for fast text representation and classification. fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Supplementary data FAQ Cheatsheet Requirements Building fastText Getting the source code Building fastText using make (preferred) Building fastText using cmake Building fastText for Python Example use cases Word representation learning Obtaining word vectors for out-of-vocabulary words Text...
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Flamework libraries for working with the Who's On First chatterbox daemon. flamework-chatterbox Flamework libraries for working with the Who's On First chatterbox daemon. Important Two things: If you're not already familiar with how Flamework projects work this will probably won't make much sense. The libphp-predis package (used by flamework-redis ) does not play nicely with the built-in pubsub server that is part of go-whosonfirst-chatterbox so you'll need to make sure that you are routing...
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None go-whosonfirst-breaches Determine what Who's On First documents are "breached" by another candidate Who's On First document. Caveats This is probably not ready for any kind of use yet. For example it does not account for interior rings in either the source or candidate Who's On First documents. If you're feeling dangerous by all means, dive in! Example ```./bin/wof-breaches -data /usr/local/mapzen/whosonfirst-data/data...
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Listen to a Redis PubSub channel and then rebroadcast it over Server-Sent Events (SSE). go-pubssed Listen to a Redis PubSub channel and then rebroadcast it over Server-Sent Events (SSE). Install You will need to have both Go and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. Packages broker ```import ( "github.com/whosonfirst/go-pubssed/broker" "net/http")...
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squeegee is a simple Dropwizard-based HTTP pony to convert SVG documents in to PNG files using the Batik SVG transcoder. java-dropwizard-squeegee squeegee is a simple Dropwizard-based HTTP pony to convert SVG documents in to PNG files using the Batik SVG transcoder. How to start the squeegee application Run mvn clean install to build your application Start application with java -jar target/squeegee-0.1.jar server config.yml To check that your application is running enter url...
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Go package for Who's On First related tasks using the Pinboard API. go-whosonfirst-pinboard Go package for Who's On First related tasks using the Pinboard API. Important Too soon. Move along. Install You will need to have both Go and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. What is the what? First of all, you shouldn't rely on any of the naming conventions yet. Not for...
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None whosonfirst-screenshots Screenshots. To restore the repository download the bundle wget https://archive.org/download/github.com-whosonfirst-whosonfirst-screenshots_-_2017-12-31_17-57-47/whosonfirst-whosonfirst-screenshots_-_2017-12-31_17-57-47.bundle and run: git clone whosonfirst-whosonfirst-screenshots_-_2017-12-31_17-57-47.bundle Source: https://github.com/whosonfirst/whosonfirst-screenshots Uploader: whosonfirst Upload date: 2017-12-31
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Tools and libraries for cloning (not syncing) Who's on First data to your local machine. go-whosonfirst-clone Tools and libraries for cloning (not syncing) Who's on First data to your local machine. This is still very much a work in progress so you might want to wait before using it. For the adventurous... Setup Go Install Go . There are package installers for Mac and Windows, and build from source options. https://golang.org/dl/ TIP: On Mac, verify your bash profile includes: export...
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Adaptive Attention Span in Transformers Adaptive Attention Span for Transformers This is a code for running experiments in Adaptive Attention Span for Transformers paper. It trains a Transformer model on character-level language modeling tasks. The adaptive span allows a model to learn an optimal context size for each self-attention head from training data. As shown in the below figure, only few heads require long attention span, thus making it possible to increase the context size to 8k tokens...
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Experimental in-memory database for CSV files. go-whosonfirst-csvdb Experimental in-memory database for CSV files. Caveats This is not sophisticated. It is not meant to be sophisticated. It is meant to be easy and fast. It might also be too soon for you to play with depending on how you feel about "things in flux". Things this package does not do yet (or maybe ever) in no particular order: Complex queries Query operators besides testing equality ( = ) Pagination - this package is...
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What is the simplest webhook-wrangling server-daemon-thing. go-webhookd What is the simplest webhook-wrangling server-daemon-thing. In many ways this is nothing more than a fancy bucket-brigade. By design. Receivers handle the actual webhook side of things, doing auth and basic sanity checking and validation. Assuming everything is as it should be receivers return a bag of bytes (the actual webhook message that may or may not be massaged depending the receiver). That bag is then handed to one...
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Go tools for working with Who's On First documents go-whosonfirst-utils Go tools and utilities for working with Who's On First documents. Install You will need to have both Go and the make programs installed on your computer. Assuming you do just type: make bin All of this package's dependencies are bundled with the code in the vendor directory. Tools wof-cat Expand and concatenate one or more Who's On First IDs and print them to STDOUT . ./bin/wof-cat -hUsage of ./bin/wof-cat: -alternate...
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Tools and libraries for working with GeoPlanet and Who's On First data py-mapzen-whosonfirst-geoplanet Tools and libraries for working with GeoPlanet and Who's On First data IMPORTANT This library is provided as-is, right now. It lacks properdocumentation which will probably make it hard for you to use unlessyou are willing to poke and around and investigate things on yourown. To restore the repository download the bundle wget...
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How we generate intersections for Who's On First whosonfirst-intersections How we generate intersections for Who's On First Important This is work in progress. Specifically we are trying to figure out to operationalize generating intersections. In other words this is wet paint. Proceed with caution. Workflow Find source data Prepare and import source data into Postgres with shp2pgsql Convert all the road segments to unified line strings Find the list of unique street names Dissolve line...
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None whosonfirst-pipeline-tasks Important Talk to Aaron. To restore the repository download the bundle wget https://archive.org/download/github.com-whosonfirst-whosonfirst-pipeline-tasks_-_2017-12-30_18-14-04/whosonfirst-whosonfirst-pipeline-tasks_-_2017-12-30_18-14-04.bundle and run: git clone whosonfirst-whosonfirst-pipeline-tasks_-_2017-12-30_18-14-04.bundle Source: https://github.com/whosonfirst/whosonfirst-pipeline-tasks Uploader: whosonfirst Upload date: 2017-12-30
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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