1. TextData loaders and abstractions for text and NLP
4. GlowCompiler for Neural Network hardware accelerators
5. CaptumModel interpretability and understanding for PyTorch
7. BuilderContinuous builder and binary build scripts for pytorch
9. FairseqFacebook AI Research Sequence-to-Sequence Toolkit written in Python.
11. Nestedtensor[Prototype] Tools for the concurrent manipulation of variably sized Tensors.
12. TensorpipeA tensor-aware point-to-point communication primitive for machine learning
13. PytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
14. QnnpackQuantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
15. TntSimple tools for logging and visualizing, loading and training
16. AudioData manipulation and transformation for audio signal processing, powered by PyTorch
17. XlaEnabling PyTorch on Google TPU
18. VisionDatasets, Transforms and Models specific to Computer Vision
20. HubSubmission to https://pytorch.org/hub/
21. OpacusTraining PyTorch models with differential privacy
25. FbgemmFB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
27. CpuinfoCPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
28. TvmTVM integration into PyTorch
31. IgniteHigh-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
32. ElfELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
33. ExamplesA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
34. Accimagehigh performance image loading and augmenting routines mimicking PIL.Image interface
35. csprngCryptographically secure pseudorandom number generators for PyTorch
36. livePlayTorch is a framework for rapidly creating mobile AI experiences.
37. functorchfunctorch is JAX-like composable function transforms for PyTorch.
38. torchxTorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
39. hydra-torchConfiguration classes enabling type-safe PyTorch configuration for Hydra apps
41. workshopsThis is a repository for all workshop related materials.