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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older programs, many of them running on defunct and rare hardware, are provided for purposes of study, education, and historical reference.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 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...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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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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Github Mirror by Narabot
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Code for the paper Music Source Separation in the Waveform Domain Music Source Separation in the Waveform Domain We provide an implementation of Demucs and Conv-Tasnet for music source separation on the MusDB dataset.They can separate drums, bass and vocals from the rest with state-of-the-art results, surpassing previous waveform or spectrogram based methods.The architecture and results obtained are detailed in our paper Music Source Separation in the waveform domain . Demucs is based on U-Net...
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Github Mirror by Narabot
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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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Github Mirror by Narabot
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Code for the paper Music Source Separation in the Waveform Domain Music Source Separation in the Waveform Domain We provide an implementation of Demucs and Conv-Tasnet for music source separation on the MusDB dataset.They can separate drums, bass and vocals from the rest with state-of-the-art results, surpassing previous waveform or spectrogram based methods.The architecture and results obtained are detailed in our paper Music Source Separation in the waveform domain . Demucs is based on U-Net...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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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,...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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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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Github Mirror by Narabot
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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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Github Mirror by Narabot
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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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Github Mirror by Narabot
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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,...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models. 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...
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Github Mirror by Narabot
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An implementation of a deep learning recommendation model (DLRM) Deep Learning Recommendation Model for Personalization and Recommendation Systems: Copyright (c) Facebook, Inc. and its affiliates. Description: An implementation of a deep learning recommendation model (DLRM)The model input consists of dense and sparse features. The former is a vectorof floating point values. The latter is a list of sparse indices intoembedding tables, which consist of vectors of floating point values.The...
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Github Mirror by Narabot
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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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Github Mirror by Narabot
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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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Github Mirror by Narabot
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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...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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Efficient 3D human pose estimation in video using 2D keypoint trajectories 3D human pose estimation in video with temporal convolutions and semi-supervised training This is the implementation of the approach described in the paper: Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli. 3D human pose estimation in video with temporal convolutions and semi-supervised training . In Conference on Computer Vision and Pattern Recognition (CVPR), 2019. More demos are available at...
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Github Mirror by Narabot
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A library for efficient similarity search and clustering of dense vectors. Faiss Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by...
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Github Mirror by Narabot
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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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Github Mirror by Narabot
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PyRobot: An Open Source Robotics Research Platform PyRobot is a light weight, high-level interface which provides hardware independent APIs for robotic manipulation and navigation. This repository also contains the low-level stack for LoCoBot , a low cost mobile manipulator hardware platform. What can you do with PyRobot? Installation Getting Started The Team Citation License Future features What can you do with PyRobot? Installation Installing both PyRobot and LoCoBot dependencies Install...
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Github Mirror by Narabot
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An end-to-end PyTorch framework for image and video classification Classy Vision is a new end-to-end, PyTorch-based framework for large-scale training of state-of-the-art image and video classification models. Previous computer vision (CV) libraries have been focused on providing components for users to build their own frameworks for their research. While this approach offers flexibility for researchers, in production settings it leads to duplicative efforts, and requires users to migrate...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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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,...
Topics: GitHub, code, software, git
Github Mirror by Narabot
software
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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...
Topics: GitHub, code, software, git
Github Mirror by Narabot
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Learning Continuous Signed Distance Functions for Shape Representation DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et al. See the paper here . Citing DeepSDF If you use DeepSDF in your research, please cite the paper : @InProceedings{Park_2019_CVPR,author = {Park, Jeong Joon and Florence, Peter and Straub, Julian and Newcombe, Richard and Lovegrove, Steven},title = {DeepSDF: Learning...
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Github Mirror by Narabot
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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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Github Mirror by Narabot
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Code for the paper Music Source Separation in the Waveform Domain Music Source Separation in the Waveform Domain We provide an implementation of Demucs and Conv-Tasnet for music source separation on the MusDB dataset.They can separate drums, bass and vocals from the rest with state-of-the-art results, surpassing previous waveform or spectrogram based methods.The architecture and results obtained are detailed in our paper Music Source Separation in the waveform domain . Demucs is based on U-Net...
Topics: GitHub, code, software, git
Github Mirror by Narabot
software
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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...
Topics: GitHub, code, software, git
Github Mirror by Narabot
software
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Code for the paper Music Source Separation in the Waveform Domain Music Source Separation in the Waveform Domain We provide an implementation of Demucs and Conv-Tasnet for music source separation on the MusDB dataset.They can separate drums, bass and vocals from the rest with state-of-the-art results, surpassing previous waveform or spectrogram based methods.The architecture and results obtained are detailed in our paper Music Source Separation in the waveform domain . Demucs is based on U-Net...
Topics: GitHub, code, software, git