PyTorch神经网络模型分析器(参数规模/FLOPs/MAdd/内存消耗) https://github.com/Swall0w/torchstat
PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs https://github.com/andreasveit/convnet-aig
NVIDIA开源面向精简混合精度和分布式训练的Pytorch扩展 https://github.com/nvidia/apex
PyTorch指南：使用、思考、技巧与陷阱 https://github.com/Kaixhin/grokking-pytorch
PyTorch实现的CIFAR-10/CIFAR-100/MNIST/FashionMNIST图像分类 https://github.com/hysts/pytorch_image_classification
TorchFusion：深度学习框架，基于PyTorch，面向AI系统加速研究与开发 https://github.com/johnolafenwa/TorchFusion
Hypergradient descent https://github.com/gbaydin/hypergradient-descent
An intriguing failing of convolutional neural networks and the CoordConv solution https://github.com/Wizaron/coord-conv-pytorch
An implementation of DropBlock in PyTorch. DropBlock is a replacement for dropout which zero-es entire spatial blocks instead of single pixels. For more information, check the paper: DropBlock: A regularization method for convolutional networks https://github.com/Randl/DropBlock-pytorch
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019. https://github.com/chenzhaomin123/ML_GCN
PyTorch学习资源汇总 https://github.com/INTERMT/Awesome-PyTorch-Chinese
Benchmark Analysis of Representative Deep Neural Network Architectures https://github.com/CeLuigi/models-comparison.pytorch https://github.com/CeLuigi/models-comparison.pytorch/wiki/Accuracy-vs-Computational-complexity
CNN图片检索 https://github.com/filipradenovic/cnnimageretrieval-pytorch
Video Frame Synthesis using Deep Voxel Flow https://github.com/lxx1991/pytorch-voxel-flow
Fast.ai PyTorch Serverless API (w/ AWS Lambda) https://github.com/alecrubin/pytorch-serverless/
YOLOv3的最小化PyTorch实现 https://github.com/eriklindernoren/PyTorch-YOLOv3
PyTorch神经网络辅助训练高级库ignite https://github.com/pytorch/ignite
Efficient semantic image segmentation with superpixel pooling https://github.com/bermanmaxim/superpixPool
用于强化学习算法快速原型构建的轻量级PyTorch架构 https://github.com/zuoxingdong/lagom
Pytorch-UNet - Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing https://github.com/milesial/Pytorch-UNet
ssds.pytorch - Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3. https://github.com/ShuangXieIrene/ssds.pytorch
Glow: Better Reversible Generative Models(人脸变老的效果) https://github.com/chaiyujin/glow-pytorch
用PyTorch 0.4实现的YoloV3 https://github.com/andy-yun/pytorch-0.4-yolov3
(PyTorch)深度强化学习实现集锦 https://github.com/TianhongDai/reinforcement-learning-algorithms
DARTS: Differentiable Architecture Search（网络结构搜索） https://github.com/quark0/darts
PyTorch CNN可视化工具 https://github.com/FrancescoSaverioZuppichini/mirror
Deformable ConvNets V2 in PyTorch https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018 https://github.com/kevin-ssy/FishNet
用PyTorch从头实现经典机器模型(Dropout, Adam, RMSProp, basic neural nets…) https://github.com/anhquan0412/basic_model_scratch
(PyTorch)机器学习实验管理工具 https://github.com/MIC-DKFZ/trixi https://trixi.readthedocs.io/en/latest/
基于PyTorch的开源医学图像处理框架，提供全套的医学成像载入、预处理模块和数据集 https://medicaltorch.readthedocs.io/en/stable/
Deep Audio-Visual Embedding network (DAVEnet) implementation in PyTorch https://github.com/dharwath/DAVEnet-pytorch
人人皆舞王(Everybody Dance Now)的 PyTorch 实现 https://github.com/nyoki-mtl/pytorch-EverybodyDanceNow
基于PyTorch的高效深度学习库fastai https://github.com/fastai/fastai/ https://docs.fast.ai/
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions https://github.com/tstandley/Xception-PyTorch
PyTorch几何计算机视觉库 https://github.com/arraiy/torchgeometry
Transformer implementation in PyTorch https://github.com/tunz/transformer-pytorch
基于PyTorch的深度学习计算机视觉框架 https://github.com/donnyyou/PyTorchCV
PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html https://github.com/juefeix/pnn.pytorch
A PyTorch implementation of Mnasnet searched architecture: MnasNet: Platform-Aware Neural Architecture Search for Mobile. https://github.com/AnjieZheng/MnasNet-PyTorch
Pytorch Implementation of Refinenet https://github.com/thomasjpfan/pytorch_refinenet
Multi-Task Learning as Multi-Objective Optimization https://github.com/IntelVCL/MultiObjectiveOptimization
'Pytorch TVM Extension' https://github.com/pytorch/tvm
PyTorch implementation of DGCNN (Deep Graph Convolutional Neural Network) https://github.com/muhanzhang/pytorch_DGCNN
用Python实现Transformer https://github.com/SamLynnEvans/Transformer
PyTorch大数据集高效训练最佳实践 https://github.com/Lyken17/Efficient-PyTorch
(Pytorch)GPU内存跟踪工具 https://github.com/Oldpan/Pytorch-Memory-Utils
Pytorch高级训练框架 https://github.com/achaiah/pywick
Facebook基于PyTorch的Ax与BoTorch：简化深度学习实验 https://towardsdatascience.com/facebook-is-making-deep-learning-experimentation-easier-with-these-two-new-pytorch-based-frameworks-5e29754bb8de
(PyTorch)手写体合成与预测 https://github.com/ritheshkumar95/pytorch_handwriting_synthesis
基于mltest的PyTorch单元测试包 https://github.com/suriyadeepan/torchtest
PyTorch深度学习教程资料 https://github.com/sethjuarez/DeepLearningWithPyTorch
60分钟PyTorch深度学习实例入门教程 https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
【pycls：灵活的(PyTorch)图像分类研究框架】'pycls - Codebase for Image Classification Research, written in PyTorch.' https://github.com/facebookresearch/pycls
《动手学深度学习》例子的PyTorch实现 https://github.com/dsgiitr/d2l-pytorch
新书《Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD》随书代码 https://github.com/fastai/book_nbs
【PyTorch深度学习教程】 https://www.youtube.com/playlist?list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh
PyTorch implementation of "Grid anchor based image cropping" https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping-Pytorch
【PyTorch3d：(PyTorch)3D视觉深度学习库】 https://github.com/facebookresearch/pytorch3d
Implement Towards Effective Low-bitwidth Convolutional Neural Networks https://github.com/nowgood/QuantizeCNNModel
【Hydra：机器学习项目配置的全新视角(PyTorch)】 https://hydra.cc/
【PyTorch封装库，提供了系统的、可扩展的方法，用PyTorch高效构建、训练、评价和优化深度学习模型】 https://github.com/jkoutsikakis/pytorch-wrapper
【PyTorch实现的NCA(Neighbourhood Components Analysis)降维方法】 https://github.com/kevinzakka/nca
【用PyTorch+einops改善深度学习代码】《Writing better code with pytorch+einops》 https://github.com/arogozhnikov/einops
【Hydra：基于PyTorch的多任务学习框架】 https://github.com/hav4ik/Hydra
【PyTorch计算机视觉深度学习模板】 https://github.com/FrancescoSaverioZuppichini/PyTorch-Deep-Learning-Template
【开源书：PyTorch深度学习起步】’First steps towards Deep Learning with pyTorch - This is an open sourced book on deep learning.' b https://github.com/vaibhawvipul/First-steps-towards-Deep-Learning
'torchprofile - A general and accurate MACs / FLOPs profiler for PyTorch models.' https://github.com/mit-han-lab/torchprofile
【PyTorch简化开发工具箱】 https://github.com/PistonY/torch-toolbox
【PyTorch教程：用TensorBoard实现模型、数据和训练过程可视化】 https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html
【dlib vs. PyTorch 简单性能评测】 https://github.com/arrufat/dlib-pytorch-benchmark
【用Cortex实现PyTorch模型产品化部署】 https://pan.baidu.com/s/1xzd7ZwC_RMt3AwLsqjtFKw
【Ray：构建和运行分布式应用的快速简单框架，包括可扩展超参微调库Tune和强化学习库RLlib，可实现PyTorch分布式训练】 https://github.com/ray-project/ray
【PyTorch Elastic ：PyTorch分布式训练框架】 https://github.com/pytorch/elastic
将训练数据快速便捷地加载到深度学习框架 https://github.com/NVlabs/tensorcom
【PyTorch半监督学习工具包】 https://github.com/moskomule/ssl-suite
###【PyTorch小trick集锦】’pytorch_tricks - some tircks for PyTorch' https://github.com/zxdefying/pytorch_tricks
【PyTorch深度学习教程C++实现版】 https://github.com/prabhuomkar/pytorch-cpp
一文总结Pytorch的8张思维导图! https://bigquant.com/community/t/topic/157823?utm_source=weibo&utm_campaign=191121_l1
【PyTorch深度学习项目框架模板(最佳实践)】’PyTorch Project Template - A best practice for deep learning project template architecture.' https://github.com/L1aoXingyu/Deep-Learning-Project-Template
(PyTorch)轻量实时语义分割模型集锦 https://github.com/Tramac/Lightweight-Segmentation
PyTorch 官方推荐了一份 60 分钟的深度学习指南 https://mp.weixin.qq.com/s/fB7iW_luNOyHAMD7GoJMYg
NVIDIA 出品的 PyTorch 模型性能分析工具 https://github.com/NVIDIA/apex/tree/master/apex/pyprof
PyTorch语义分割实现集锦 https://github.com/Tramac/Awesome-semantic-segmentation-pytorch
PytorchInsight - a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results https://github.com/implus/PytorchInsight
一个包含计算机视觉、自然语言处理领域的诸多经典模型的聚合中心。这年头有很多 Hub，什么 GitHub、SciHub、xxxxHub 等等，但是最近图灵奖得主 Yann LeCun 强推的 PyTorch-Hub。无论是 ResNet、BERT、GPT、VGG、PGAN 还是 MobileNet 等经典模型，只需输入一行代码，都能实现一键调用！妈妈再也不用担心你的模型啦！ https://github.com/pytorch/hub
Life is short, you need PyTorch. https://github.com/Eurus-Holmes/LIS-YNP
PyTorch快速教程 https://github.com/omerbsezer/Fast-Pytorch
PyTorch内存使用分析器 https://github.com/Stonesjtu/pytorch_memlab
Simple, extendable, easy to understand Glow implementation in PyTorch https://github.com/y0ast/Glow-PyTorch
Flambé：面向研究和产品化加速的机器学习实验框架(基于PyTorch) https://github.com/Open-ASAPP/flambe
Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery https://github.com/Raymond-sci/AND
PyTorch Hub：仅需一行代码(torch.hub.load())复用ResNet, ResNext, BERT, GPT, PGAN, Tacotron, DenseNet, MobileNet等最新模型】 https://pytorch.org/blog/towards-reproducible-research-with-pytorch-hub/
DaskMaskRCNN - Running Mask-RCNN on Dask with PyTorch https://github.com/msalvaris/DaskMaskRCNN
PyTorch图像模型代码、脚本、预训练模型集锦 https://github.com/rwightman/pytorch-image-models
PyTorch模型摘要插件 https://github.com/Tramac/torchscope
用PySnooper调试PyTorch代码 https://github.com/zasdfgbnm/TorchSnooper
PyTorch & PyTorch Geometric图神经网络(GNN)实战 https://towardsdatascience.com/hands-on-graph-neural-networks-with-pytorch-pytorch-geometric-359487e221a8
Implementing Billion-scale semi-supervised learning for image classification using Pytorch https://github.com/leaderj1001/Billion-scale-semi-supervised-learning
RetinaNet Examples - Fast and accurate object detection with end-to-end GPU optimization https://github.com/NVIDIA/retinanet-examples
Pytorch分类实验模板 https://github.com/learning-luke/pytorch-experiments-template
PyTorch深度学习实验监控面板 https://github.com/jotaf98/overboard
Danbooru2018数据集上的ResNet预训练模型(PyTorch) https://github.com/RF5/danbooru-pretrained
Flambé：面向研究和产品化加速的机器学习实验框架(基于PyTorch) https://github.com/asappresearch/flambe
Awesome-Pytorch-list｜厉害的Pytorch项目 https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion
PyTorch工具箱 https://github.com/bonlime/pytorch-tools
PyTorch 实现的神经网络量化算法集 https://github.com/Enderdead/Pytorch_Quantize_impls
PyProf: PyTorch Profiling tool https://github.com/adityaiitb/pyprof2
PyTorch深度学习教程 https://www.bilibili.com/video/av69000304/
https://blog.openmined.org/encrypted-training-on-mnist/
PyTorch 应用技巧 https://weibo.com/tv/v/I1ZEC6h6n?fid=1034:4404753053200068
一个包含计算机视觉、自然语言处理领域的诸多经典模型的聚合中心。这年头有很多 Hub，什么 GitHub、SciHub、xxxxHub 等等，但是最近图灵奖得主 Yann LeCun 强推的 PyTorch-Hub。无论是 ResNet、BERT、GPT、VGG、PGAN 还是 MobileNet 等经典模型，只需输入一行代码，都能实现一键调用！
https://github.com/pytorch/hub
https://github.com/ShusenTang/Dive-into-DL-PyTorch
一个包含基础教程、提高参考资料、有趣实践项目的 PyTorch 教程 https://github.com/Eurus-Holmes/LIS-YNP