Top 12 Trending Cuda Projects
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raft
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. (by rapidsai)
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HRNet-Human-Pose-Estimation
This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
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dietgpu
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
ABOUT:
The growth percentage is calculated as the increase in the number of stars
compared to the previous month. We list only projects that have
at least 500 stars and a GitHub organization logo set.
Index
What are some of the trending open-source Cuda projects? This list will help you:
Project | Growth | |
---|---|---|
1 | causal-conv1d | 37.3% |
2 | NATTEN | 16.7% |
3 | raft | 9.0% |
4 | CUDALibrarySamples | 8.6% |
5 | nccl-tests | 5.1% |
6 | HRNet-Human-Pose-Estimation | 4.4% |
7 | dietgpu | 4.1% |
8 | cugraph | 2.4% |
9 | k2 | 1.9% |
10 | instant-ngp | 1.8% |
11 | blocksparse | 1.6% |
12 | MegBA | 1.4% |