Alternatives and similar repositories for CudaCythonSamples

Users that are interested in CudaCythonSamples are comparing it to the libraries listed below

• shwina / pyamgx
  GPU accelerated multigrid library for Python
  ☆59Updated 9 months ago
• NVIDIA / nvmath-python
  NVIDIA Math Libraries for the Python Ecosystem
  ☆330Updated 2 weeks ago
• NVIDIA / numbast
  Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.
  ☆47Updated this week
• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆138Updated last week
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆481Updated this week
• shwina / stdpar-cython
  Exploring using stdpar and Cython
  ☆34Updated 4 years ago
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆396Updated 10 months ago
• pybind / scikit_build_example
  An example combining scikit-build and pybind11
  ☆129Updated last week
• ifsheldon / stannum
  Fusing Taichi into PyTorch
  ☆145Updated 2 years ago
• smrfeld / cmake_cpp_pybind11_tutorial
  Tutorial for wrapping C++ library into Python using pybind11 and CMake
  ☆146Updated last year
• cmpute / pytorch-cmake-example
  Example to build PyTorch CUDA extension using CMake (with pybind11 and scikit-build)
  ☆11Updated 5 years ago
• PWhiddy / pybind11-cuda
  Template for GPU accelerated python libraries
  ☆49Updated last year
• NVIDIA / TorchFort
  An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
  ☆169Updated last week
• NVIDIA / AMGX
  Distributed multigrid linear solver library on GPU
  ☆572Updated 4 months ago
• pkestene / pybind11-cuda
  ☆22Updated last year
• ucl-bug / jwave
  A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
  ☆171Updated 9 months ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆204Updated 7 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆431Updated last week
• r-barnes / pytorch_cmake_example
  ☆32Updated 3 years ago
• scikit-sparse / scikit-sparse
  Sparse matrix tools extending scipy.sparse, but with incompatible licenses
  ☆174Updated last month
• Jimver / cuda-toolkit
  GitHub Action to install CUDA
  ☆176Updated last week
• alugowski / fast_matrix_market
  Fast and full-featured Matrix Market I/O library for C++, Python, and R
  ☆79Updated 10 months ago
• wjakob / nanobind_example
  A nanobind example project
  ☆107Updated 2 months ago
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆89Updated last year
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆252Updated 4 months ago
• arpastrana / jax_fdm
  Auto-differentiable and hardware-accelerated force density method
  ☆90Updated this week
• IntelPython / dpnp
  Data Parallel Extension for NumPy
  ☆109Updated this week
• Dipolar-Quantum-Gases / jaxfit
  GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
  ☆57Updated 2 years ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆457Updated 3 weeks ago
• 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 …
  ☆22Updated last week