Alternatives and similar repositories for nvmath-python:

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

• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆302Updated this week
• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆56Updated this week
• nv-legate / legate
  The Foundation for All Legate Libraries
  ☆203Updated last week
• NVIDIA / accelerated-computing-hub
  NVIDIA curated collection of educational resources related to general purpose GPU programming.
  ☆190Updated this week
• NVIDIA / NVTX
  The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resou…
  ☆341Updated this week
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆250Updated last week
• IntelPython / numba-dpex
  Data Parallel Extension for Numba
  ☆79Updated 2 months ago
• IntelPython / dpnp
  Data Parallel Extension for NumPy
  ☆104Updated this week
• NVIDIA / TorchFort
  An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
  ☆160Updated last week
• KernelTuner / kernel_tuner
  Kernel Tuner
  ☆308Updated this week
• intel / intel-extension-for-openxla
  ☆43Updated this week
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆280Updated this week
• NVIDIA / cuCollections
  ☆514Updated this week
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆211Updated 5 months ago
• IntelPython / dpctl
  Python SYCL bindings and SYCL-based Python Array API library
  ☆109Updated this week
• FZJ-JSC / tutorial-multi-gpu
  Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
  ☆209Updated 2 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆280Updated 2 years ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆460Updated 3 weeks ago
• NVIDIA / nvbench
  CUDA Kernel Benchmarking Library
  ☆558Updated 2 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆73Updated 3 weeks ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆175Updated this week
• numba / nvidia-cuda-tutorial
  Nvidia contributed CUDA tutorial for Numba
  ☆241Updated 2 years ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆91Updated 9 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆159Updated 6 months ago
• nv-legate / cupynumeric
  An Aspiring Drop-In Replacement for NumPy at Scale
  ☆824Updated last week
• pytorch-labs / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆129Updated last week
• rapidsai / rmm
  RAPIDS Memory Manager
  ☆533Updated this week
• nv-legate / legate-sparse
  Legate Sparse is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the scipy.sparse library on …
  ☆17Updated last week
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆35Updated 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…
  ☆178Updated 2 months ago