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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 high performance applications.

LSH-GPU ANN package

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

Batch First ⭐ 26

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

AI@UCF's custom-made course, organized by semesters

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