Alternatives and similar repositories for free-threaded-python

Users that are interested in free-threaded-python are comparing it to the libraries listed below

• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆184Updated last week
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆296Updated last week
• pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆59Updated last week
• lianakoleva / no-libtorch-compile
  ☆21Updated 6 months ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆123Updated last month
• lernapparat / torchhacks
  Hacks for PyTorch
  ☆19Updated 2 years ago
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆27Updated 11 months ago
• pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆181Updated 2 weeks ago
• Quansight / torch-build
  Collection of scripts to build PyTorch and the domain libraries from source.
  ☆12Updated 2 weeks ago
• facebookresearch / any4
  Quantize transformers to any learned arbitrary 4-bit numeric format
  ☆45Updated 2 months ago
• microsoft / torchy
  A tracing JIT for PyTorch
  ☆17Updated 3 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• gmarkall / life-of-a-numba-kernel
  Worked example of the process from Python source to CUDA kernel execution with Numba
  ☆42Updated last year
• Quantco / spox
  Pythonic framework for building ONNX graphs
  ☆88Updated last week
• ROCm / pyrsmi
  python package of rocm-smi-lib
  ☆23Updated 2 months ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• meta-pytorch / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆147Updated 3 weeks ago
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆20Updated 2 years ago
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 5 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆104Updated last year
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated 9 months ago
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆76Updated last week
• zasdfgbnm / autonvtx
  Automatically insert nvtx ranges to PyTorch models
  ☆19Updated 4 years ago
• mlcommons / logging
  MLPerf™ logging library
  ☆36Updated last week
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• UmerHA / triton_util
  Make triton easier
  ☆47Updated last year
• NVIDIA / numbast
  Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.
  ☆50Updated last week
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆45Updated 3 weeks ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated last month