Stars
CUDA Python: Performance meets Productivity
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Graph algorithms written in GraphBLAS
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Visualize and Debug Numba compiled code in Jupyter
NumPy aware dynamic Python compiler using LLVM
Implementation of the Jupyter kernel protocol in C++
A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl
Example Numba implementations of functions
A Python framework for accelerated simulation, data generation and spatial computing.
An efficient C++20 GPU numerical computing library with Python-like syntax
Translates JSON into a Go type in your browser instantly (original)
A tool for testing and validating container requirements against versioned manifests
NVIDIA Linux open GPU kernel module source
dask / fastparquet
Forked from jcrobak/parquet-pythonpython implementation of the parquet columnar file format.