NLP & Speech Processing:

• fairseq-py - to-Sequence Toolkit written in Python.
• flair - of-the-art Natural Language Processing (NLP)
• pytorch text
• pytorch-seq2seq - to-sequence (seq2seq) models implemented in PyTorch.
• anuvada
• audio
• speech
• OpenNMT-py - Source Neural Machine Translation in PyTorch http://opennmt.net
• neuralcoref - of-the-art coreference resolution based on neural nets and spaCy huggingface.co/coref
• sentiment-discovery
• MUSE
• nmtpytorch
• pytorch-wavenet
• Tacotron-pytorch - to-End Speech Synthesis.
• AllenNLP - source NLP research library, built on PyTorch.
• PyTorch-NLP
• quick-nlp
• TTS
• LASER - Agnostic SEntence Representations
• pyannote-audio
• gensen - task Learning.
• translate - a PyTorch Language Library.
• espnet - to-End Speech Processing Toolkit espnet.github.io/espnet
• UnsupervisedMT - Based & Neural Unsupervised Machine Translation.
• BERT-PyTorch
• InferSent
• uis-rnn - State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization. arxiv.org/abs/1810.04719
• flair - of-the-art Natural Language Processing (NLP)
• pytext
• BERT-NER - Named-Entity-Recognition-with-BERT.
• transfer-nlp
• texar-pytorch
• pytorch-kaldi - kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
• NeMo
• pytorch-struct
• espresso - to-End Neural Speech Recognition Toolkit
• transformers - of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. huggingface.co/transformers
• reformer-pytorch
• torch-metrics
• speechbrain - source and all-in-one speech toolkit based on PyTorch.
• Backprop - of-the-art ML models.
• loop

Other libraries:

• tensorboard-pytorch
• pytorch-caffe-darknet-convert
• PyTorch-Encoding - Encoding
• skorch - learn compatible neural network library that wraps pytorch
• scVI-dev
• bindsnet
• pytorch_geometric
• netharn
• vegans
• pytorch-lightning
• pytorch-toolbelt
• flambe
• accelerate - GPU, TPU, mixed-precision
• pytorch_geometric
• pytorch-lightning
• functional zoo
• aorun
• PyTorch-docset
• convert_torch_to_pytorch
• pretrained-models.pytorch
• pytorch_fft
• caffe_to_torch_to_pytorch
• pytorch-extension
• spotlight
• pytorch-cns
• pyinn
• pytorch-fitmodule
• pytorch2caffe
• sru
• torch2coreml - > CoreML
• PyTorch-Encoding - Encoding
• candlegp
• dpwa - Wise Averaging.
• dni-pytorch
• ignite - level library to help with training neural networks in PyTorch.
• Arnold - DOOM Agent
• pytorch-mcn
• simple-faster-rcnn-pytorch - CNN with competitive performance.
• generative_zoo
• pytorchviz
• cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework in Python.
• pydlt
• semi-supervised-pytorch - based semi-supervised and generative models in PyTorch.
• pytorch_cluster
• neural-assembly-compiler - neural-compilation.
• caffemodel2pytorch
• extension-cpp
• jetson-reinforcement
• matchbox
• torch-two-sample - sample tests
• pytorch-summary
• apex
• ELF
• Torchlite
• joint-vae
• SLM-Lab
• torchplus
• lagom
• pytorch-maml-rl - Agnostic Meta-Learning in Pytorch.
• NALU
• QuCumber - Body Wavefunction Reconstruction
• magnet - dl.readthedocs.io/
• opencv_transforms
• fastai
• pytorch-dense-correspondence
• colorization-pytorch
• OpenChem
• torchani
• PyTorch-LBFGS - BFGS.
• gpytorch
• hessian
• vel - learning research.
• nonechucks
• torchstat
• QNNPACK - mobile-optimized implementation of quantized neural network operators.
• torchdiffeq - memory backpropagation.
• redner
• pixyz
• euclidesdb - model machine learning feature embedding database http://euclidesdb.readthedocs.io
• salad - Supervised Learning and Domain Adaptation.
• netharn
• dgl
• gandissect - based tools for visualizing and understanding the neurons of a GAN. gandissect.csail.mit.edu
• Xlearn
• AdverTorch
• AdaBound
• fenchel-young-losses - learn with Fenchel-Young losses
• pytorch-OpCounter
• Tor10 - Network library that is designed for quantum simulation, base on the pytorch.
• Catalyst - level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
• Ax
• pywick - level batteries-included neural network training library for Pytorch
• torchgpipe
• hub - trained model repository designed to facilitate research reproducibility.
• tensorwatch
• wavetorch
• diffdist
• torchprof - by-layer profiling of Pytorch models.
• osqpth
• mctorch
• pytorch-hessian-eigenthings - vector product and stochastic power iteration.
• MinkowskiEngine - diff library for generalized sparse convolutions and high-dimensional sparse tensors.
• pytorch-cpp-rl
• pytorch-toolbelt
• argus-tensor-stream - time video stream decoding to CUDA memory tensorstream.argus-ai.com
• macarico
• rlpyt
• pywarm - season.github.io/pywarm
• learn2learn - learning Framework for Researchers http://learn2learn.net
• torchbeast
• higher
• Torchelie
• CrypTen - party computation as its encryption mechanism.
• cvxpylayers
• RepDistiller
• kaolin
• PySNN
• sparktorch
• pytorch-metric-learning
• autonomous-learning-library
• flambe
• pytorch-optimizer
• PyTorch-VAE
• ray
• Pytorch Geometric Temporal
• Poutyne - like framework for PyTorch that handles much of the boilerplating code needed to train neural networks.
• Pytorch-Toolbox
• Pytorch-contrib
• EfficientNet PyTorch - for-op PyTorch reimplementation of EfficientNet, along with pre-trained models and examples.
• PyTorch/XLA
• volksdep - source toolbox for deploying and accelerating PyTorch, Onnx and Tensorflow models with TensorRT.
• PyTorch-StudioGAN
• accelerate - GPU, TPU, mixed-precision
• Pytorch Geometric Signed Directed
• Koila
• Renate - world continual learning.
• pytorch-lightning
• pro_gan_pytorch
• pytorch2keras
• lightning-transformers - performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
• pytorch_geometric
• torch-sampling - memory or out-of-memory data.

CV:

• img_classification_pk_pytorch - of-the-art models (such as DenseNet, ResNet, ...)
• albumentations
• MMDetection - mmlab.github.io/).
• albumentations
• pytorch vision
• pt-styletransfer
• OpenFacePytorch
• img_classification_pk_pytorch - of-the-art models (such as DenseNet, ResNet, ...)
• SparseConvNet
• face-alignment
• pytorch-semantic-segmentation
• RoIAlign.pytorch
• pytorch-cnn-finetune - tune pretrained Convolutional Neural Networks with PyTorch.
• detectorch - detectron for PyTorch
• Augmentor
• TorchCV - Based Framework for Deep Learning in Computer Vision.
• maskrcnn-benchmark
• image-classification-mobile - 1K.
• medicaltorch
• facenet-pytorch
• detectron2 - generation research platform for object detection and segmentation.
• vedaseg
• ClassyVision - to-end PyTorch framework for image and video classification.
• detecto
• pytorch3d
• MMDetection - mmlab.github.io/).
• neural-dream - like hallucinogenic visuals.
• FlashTorch
• Lucent
• MMDetection3D - generation platform for general 3D object detection, a part of the [OpenMMLab project](https://open-mmlab.github.io/).
• MMSegmentation - mmlab.github.io/).
• MMAction2 - mmlab.github.io/).
• MMPose - mmlab.github.io/).
• lightly - Lightly is a computer vision framework for self-supervised learning.
• RoMa

Probabilistic/Generative Libraries:

• pyro
• ptstat
• probtorch
• paysage
• pyvarinf
• pyprob - based library for probabilistic programming and inference compilation.
• mia
• botorch

• Captum

Other libraries:

• DeepLearningForNLPInPytorch
• Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)
• adversarial-autoencoders-with-pytorch
• transfer learning using pytorch
• how-to-implement-a-yolo-object-detector-in-pytorch
• pytorch-for-recommenders-101
• PyTorch Tutorial
• Multiplicative LSTM for sequence-based Recommenders
• Intro to Deep Learning with PyTorch
• Deep Learning with PyTorch: Zero to GANs - focused tutorial series on introduction to Deep Learning with PyTorch ([video](https://www.youtube.com/watch?v=GIsg-ZUy0MY)).
• Serverless Machine Learning in Action with PyTorch and AWS
• Run your PyTorch Example Fedarated with Flower - 10 dataset is used together with a convolutional neural network (CNN).
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• Practical Pytorch
• pytorch-tutorial
• pytorch-exercises - exercises collection.
• pytorch tutorials
• pytorch examples
• pytorch practice
• pytorch mini tutorials
• pytorch text classification
• cats vs dogs - tuning in pytorch for the kaggle competition Dogs vs. Cats Redux: Kernels Edition. Currently #27 (0.05074) on the leaderboard.
• convnet
• pytorch-generative-adversarial-networks
• pytorch containers
• T-SNE in pytorch - SNE experiments in pytorch
• AAE_pytorch
• pytorch-poetry-gen - RNN based on pytorch.
• PyTorch-Tutorial
• pytorch-intro
• pytorch-classification - 10/100 and ImageNet.
• pytorch_notebooks - hardmaru
• pytorch_tutoria-quick
• Pytorch_fine_tuning_Tutorial
• pytorch_exercises - exercises
• traffic-sign-detection - cv-fall-2017 example
• mss_pytorch - Filtering Connections - PyTorch Implementation. Demo: js-mim.github.io/mss_pytorch
• DeepNLP-models-Pytorch - 224n(Stanford Univ: NLP with Deep Learning)
• pytorch.rl.learning
• minimal-seq2seq
• tensorly-notebooks
• pytorch_bits - series prediction related examples.
• skip-thoughts - Thought Vectors in PyTorch.
• Capsule-Network-Tutorial - to-follow Capsule Network tutorial.
• RL-Adventure - to-follow step-by-step Deep Q Learning tutorial with clean readable code.
• accelerated_dl_pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• transfer learning using pytorch
• blog series
• transfer learning using pytorch

Other libraries:

• pytorch-yolo2 - yolo2
• grad-cam - CAM
• pytorch-trpo
• mask_rcnn_pytorch
• NALU-pytorch
• pytorch-flows

Other libraries:

• PyTorch Conference 2018

Other libraries:

• pytorch vs tensorflow
• Pytorch discussion forum
• pytorch notebook: docker-stack - stacks/tree/master/scipy-notebook)
• PyTorch in 5 Minutes
• Deep-Learning-Boot-Camp - day Deep Learning Bootcamp http://deep-ml.com.
• pytorch-cv
• Deep Learning With Pytorch TextBook - Learning-PyTorch-practical-approach/dp/1788624335/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1523853954&sr=8-1) [github code repo](https://github.com/svishnu88/DLwithPyTorch)
• Deep Learning With Pytorch
• Deep Learning With Pytorch TextBook - Learning-PyTorch-practical-approach/dp/1788624335/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1523853954&sr=8-1) [github code repo](https://github.com/svishnu88/DLwithPyTorch)