karpathy / llm.c
LLM training in simple, raw C/CUDA
See what the GitHub community is most excited about today.
LLM training in simple, raw C/CUDA
CUDA accelerated rasterization of gaussian splatting
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.
Instant neural graphics primitives: lightning fast NeRF and more
[ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
cuVS - a library for vector search and clustering on the GPU
cuGraph - RAPIDS Graph Analytics Library
FlashInfer: Kernel Library for LLM Serving
A differentiable rasterizer used in the project "2D Gaussian Splatting"
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
CUDA Kernel Benchmarking Library