karpathy / llm.c
LLM training in simple, raw C/CUDA
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LLM training in simple, raw C/CUDA
WholeGraph - large scale Graph Neural Networks
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.
CUDA accelerated rasterization of gaussian splatting
Instant neural graphics primitives: lightning fast NeRF and more
cuGraph - RAPIDS Graph Analytics Library
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
NCCL Tests
CUDA Kernel Benchmarking Library
Tile primitives for speedy kernels
Causal depthwise conv1d in CUDA, with a PyTorch interface
Sample codes for my CUDA programming book
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.