karpathy / llm.c
LLM training in simple, raw C/CUDA
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LLM training in simple, raw C/CUDA
Instant neural graphics primitives: lightning fast NeRF and more
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.
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
NCCL Tests
Causal depthwise conv1d in CUDA, with a PyTorch interface
WholeGraph - large scale Graph Neural Networks
cuGraph - RAPIDS Graph Analytics Library
FlashInfer: Kernel Library for LLM Serving
CUDA Library Samples
A differentiable rasterizer used in the project "2D Gaussian Splatting"
Tile primitives for speedy kernels