PyTorch enables fast, flexible experimentation and efficient production through
a hybrid front-end, distributed training, and ecosystem of tools and libraries.
The library is developed by Facebook and other groups.
PyTorch provides two high-level features:
- Tensor computing (like NumPy) with strong acceleration via graphics
- processing units (GPU) Deep neural networks built on a tape-based autodiff
BSD-2-Clause AND BSD-3-Clause AND MIT AND Zlib AND BSL-1.0 AND Apache-2.0