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- Tensors and Dynamic neural networks in Python with strong GPU acceleration
- On-device AI across mobile, embedded and edge for PyTorch
- PyTorch native quantization and sparsity for training and inference
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests, as well as our continuation integration jobs HUD/dashboard.
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
- Datasets, Transforms and Models specific to Computer Vision
- Collective communications library with various primitives for multi-machine training.
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
- Models, data loaders and abstractions for language processing, powered by PyTorch
- CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)