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Mentions
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Stars | Project | Description |
|---|---|---|---|
| 10 | 19,286 | LLM training in simple, raw C/CUDA | |
| 147 | 15,468 | Instant neural graphics primitives: lightning fast NeRF and more | |
| 112 | 9,954 | A massively parallel, optimal functional runtime in Rust | |
| 2 | 6,083 | Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189 | |
| 4 | 4,190 | The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" | |
| 1 | 3,323 | Squeeze-and-Excitation Networks | |
| 6 | 1,593 | cuGraph - RAPIDS Graph Analytics Library | |
| 5 | 1,309 | CUDA Library Samples | |
| 5 | 1,115 | Tile primitives for speedy kernels | |
| 2 | 1,056 | FSA/FST algorithms, differentiable, with PyTorch compatibility. | |
| 1 | 1,008 | Efficient GPU kernels for block-sparse matrix multiplication and convolution | |
| 1 | 902 | CUDA accelerated rasterization of gaussian splatting | |
| 1 | 754 | Automatically exported from code.google.com/p/cuda-convnet2 | |
| 1 | 700 | NCCL Tests | |
| 1 | 646 | Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch | |
| 3 | 627 | 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. | |
| 1 | 557 | Fast, gpu-based CSV parser | |
| 12 | 493 | Instant neural graphics primitives: lightning fast NeRF and more | |
| 1 | 461 | Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs | |
| 2 | 443 | Flash Attention in ~100 lines of CUDA (forward pass only) |
Popular Cuda Topics
Latest Mentions
Latest mentioned Cuda repos
| Stars | Project |
|---|---|
| 3 | llm.c |
| 19,286 | llm.c |
| 9,954 | HVM |
| 1,115 | ThunderKittens |
| 41 | jaxsplat |
| 25 | simpleGEMM |
| 195 | CGBN |
| 902 | gsplat |
| 154 | cuda-checkpoint |
| 6 | cuda-1brc |
| 294 | dietgpu |
| 443 | flash-attention-minimal |
| 0 | blog-code |
| 627 | raft |
| 5 | tuna |
| 298 | NATTEN |
| 6 | build-nccl-tests-with-pytorch |
| 24 | GPUODEBenchmarks |
| 195 | RWKV-CUDA |
| 187 | causal-conv1d |
Latest Discoveries
Latest discovered Cuda repos
| Stars | Project |
|---|---|
| 3 | llm.c |
| 41 | jaxsplat |
| 1,115 | ThunderKittens |
| 25 | simpleGEMM |
| 195 | CGBN |
| 902 | gsplat |
| 154 | cuda-checkpoint |
| 6 | cuda-1brc |
| 19,286 | llm.c |
| 443 | flash-attention-minimal |
| 0 | blog-code |
| 5 | tuna |
| 298 | NATTEN |
| 6 | build-nccl-tests-with-pytorch |
| 24 | GPUODEBenchmarks |
| 187 | causal-conv1d |
| 67 | ABMGPU |
| 7 | gpu-desktop-calculator |
| 57 | gdlog |
| 22 | Harmonia_for_B_plus_trees |
Recently updated posts
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Reproducing GPT-2 (124M) in llm.c in 90 minutes for $20
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Jaxsplat: 3D Gaussian Splatting for Jax
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Welcome to the Parallel Future of Computation
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Bend a Parallel Language
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Bend: A higher order language for the GPU