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crates.io : burn-jit

Generic backend that can be compiled just-in-time to any shader language target

Registry - Source - Documentation - JSON
purl: pkg:cargo/burn-jit
Keywords: machine-learning, gpu, deep-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: 11 days ago
First release: about 1 month ago
Dependent packages: 1
Downloads: 1,096 total
Stars: 7,029 on GitHub
Forks: 315 on GitHub
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: 11 days ago

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