Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

Top 7.2% on crates.io
Top 6.5% dependent repos on crates.io
Top 4.7% forks on crates.io
Top 5.5% docker downloads on crates.io

crates.io : burn-tensor-testgen

Test generation crate for burn-tensor

Registry - Source - Documentation - JSON
purl: pkg:cargo/burn-tensor-testgen
Keywords: autodiff, autotune, concurrency, cross-platform, deep-learning, high-performance, kernel-fusion, llm, machine-learning, ndarray, neural-network, onnx, pytorch, rust, scientific-computing, tensor, wasm, webgpu
License: MIT,Apache-2.0
Latest release: about 2 months ago
First release: over 1 year ago
Dependent packages: 3
Dependent repositories: 17
Downloads: 49,860 total
Stars: 7,029 on GitHub
Forks: 315 on GitHub
Docker dependents: 22
Docker downloads: 18,696,325
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: 4 days ago

burn-jit 0.13.2 💰
Generic backend that can be compiled just-in-time to any shader language target
3 versions - Latest release: 26 days ago - 1 dependent package - 1.1 thousand downloads total - 7,029 stars on GitHub - 1 maintainer
Top 6.0% on crates.io
burn-autodiff 0.13.2 💰
Automatic differentiation backend for the Burn framework
15 versions - Latest release: 26 days ago - 9 dependent packages - 17 dependent repositories - 64.6 thousand downloads total - 7,029 stars on GitHub - 1 maintainer
Top 5.4% on crates.io
burn-tensor 0.13.0 💰
Tensor library with user-friendly APIs and automatic differentiation support
20 versions - Latest release: about 2 months ago - 9 dependent packages - 19 dependent repositories - 76 thousand downloads total - 7,029 stars on GitHub - 1 maintainer