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RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
You like pytorch? You like micrograd? You love tinygrad! ❤️
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Scalable data pre processing and curation toolkit for LLMs
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Lightning fast C++/CUDA neural network framework
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
uccross / tpch-kit
Forked from gregrahn/tpch-kitTPC-H benchmark kit with some modifications/additions
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
NVIDIA Linux open GPU kernel module source
📊 A simple command-line utility for querying and monitoring GPU status
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Header-only C++/python library for fast approximate nearest neighbors