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Collection of generative models in Pytorch version.
Count the FLOPs of your PyTorch model.
PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
PyTorch Tutorial for Deep Learning Researchers
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
pytorch version of "End-to-end Recovery of Human Shape and Pose"
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST
This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
A small package to create visualizations of PyTorch execution graphs
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]
PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in this paper: https://arxiv.org/pdf/1406.1078.pdf
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
Experiments with spiking neural networks (SNNs) in PyTorch.
Pure python implementation of SNN
Spoken language identification with deep learning
A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.
t-SNE example with python
A simple way to calibrate your neural network.
Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
This application written in Python is capable of fully automatic clustering of 2D trajectory data.
Everything about Transfer Learning and Domain Adaptation--迁移学习
Tree LSTM implementation in PyTorch
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
Efficient 3D human pose estimation in video using 2D keypoint trajectories
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.