Ecosyste.ms: Packages
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crates.io : burn-compute
Compute crate that helps creating high performance async backends.
Registry
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Source
- Documentation
- JSON
purl: pkg:cargo/burn-compute
Keywords: deep-learning, data, machine-learning, autodiff, autotune, concurrency, cross-platform, high-performance, kernel-fusion, llm, ndarray, neural-network, onnx, pytorch, rust, scientific-computing, tensor, wasm, webgpu
License: MIT,Apache-2.0
Latest release: about 2 months ago
First release: 7 months ago
Dependent packages: 2
Dependent repositories: 1
Downloads: 51,871 total
Stars: 7,029 on GitHub
Forks: 315 on GitHub
Docker dependents: 1
Docker downloads: 317
Total Commits: 815
Committers: 75
Average commits per author: 10.867
Development Distribution Score (DDS): 0.48
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/nathanielsimard
Last synced: 3 days ago
burn-wgpu 0.13.2 💰
WGPU backend for the Burn framework10 versions - Latest release: 25 days ago - 3 dependent packages - 2 dependent repositories - 45.7 thousand downloads total - 7,029 stars on GitHub - 1 maintainer
burn-jit 0.13.2 💰
Generic backend that can be compiled just-in-time to any shader language target3 versions - Latest release: 25 days ago - 1 dependent package - 1.1 thousand downloads total - 7,029 stars on GitHub - 1 maintainer