pytorch
PyTorch is a Python package for GPU-accelerated tensor computation and deep neural networks built on a tape-based autograd system, extensible via NumPy and SciPy.
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the pytorch organization.
PyTorch is a Python package for GPU-accelerated tensor computation and deep neural networks built on a tape-based autograd system, extensible via NumPy and SciPy.
Datasets, Transforms and Models specific to Computer Vision
A PyTorch native platform for training generative AI models
On-device AI across mobile, embedded and edge for PyTorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
PyTorch native quantization for training and inference
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Data manipulation and transformation for audio signal processing, powered by PyTorch
Enabling PyTorch on XLA Devices (e.g. Google TPU)
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
Collective communications library with various primitives for multi-machine training.
Submission to https://pytorch.org/hub/
C++ extensions in PyTorch
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
TensorDict is a pytorch dedicated tensor container.
A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.