Alternatives and similar repositories for nvidia-cuda-tutorial

Users that are interested in nvidia-cuda-tutorial are comparing it to the libraries listed below

• jacobtomlinson / gpu-python-tutorial
  GPU Development in Python 101 tutorial
  ☆277Updated last year
• nv-legate / legate
  The Foundation for All Legate Libraries
  ☆229Updated this week
• dionhaefner / pyhpc-benchmarks
  A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
  ☆332Updated last year
• ContinuumIO / gtc2019-numba
  Numba tutorial for GTC2019
  ☆134Updated 2 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
• IntelPython / scikit-learn_bench
  scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…
  ☆118Updated last week
• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆206Updated this week
• che-shr-cat / Deep_Learning_with_JAX
  Notebooks for the "Deep Learning with JAX" book
  ☆157Updated 4 months ago
• rapidsai / dask-cuda
  Utilities for Dask and CUDA interactions
  ☆315Updated last week
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆301Updated 3 weeks ago
• numba / numba-examples
  Example Numba implementations of functions
  ☆177Updated 3 years ago
• nv-legate / legate.pandas
  An Aspiring Drop-In Replacement for Pandas at Scale
  ☆74Updated 4 years ago
• csc-training / hpc-python
  Python in High Performance Computing
  ☆359Updated 8 months ago
• ContinuumIO / gtc2018-numba
  Numba tutorial for GTC 2018
  ☆115Updated 2 years ago
• ericmjl / dl-workshop
  Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
  ☆229Updated last year
• nv-legate / cupynumeric
  NumPy and SciPy on Multi-Node Multi-GPU systems
  ☆935Updated this week
• Nico-Curti / NumPyNet
  Neural Networks library in pure numpy
  ☆70Updated last year
• rsokl / MyGrad
  Drop-in autodiff for NumPy.
  ☆213Updated this week
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆247Updated last year
• data-apis / array-api
  RFC document, tooling and other content related to the array API standard
  ☆258Updated last month
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆351Updated 6 months ago
• NVIDIA / nvmath-python
  NVIDIA Math Libraries for the Python Ecosystem
  ☆522Updated last month
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆400Updated last year
• graphcore / poptorch
  PyTorch interface for the IPU
  ☆181Updated 2 years ago
• ARM-software / mango
  Parallel Hyperparameter Tuning in Python
  ☆418Updated 8 months ago
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆73Updated last year
• meta-pytorch / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆149Updated 2 months ago
• sdpython / mlprodict
  Productionize machine learning predictions, with ONNX or without
  ☆66Updated last year
• NVIDIA / data-science-stack
  NVIDIA Data Science stack tools
  ☆394Updated 2 years ago