can-lehmann / exprgrad

An experimental deep learning framework for Nim based on a differentiable array programming language

Date Created 2021-10-06 (3 years ago)

Commits 143 (last one 2 years ago)

Stargazers 120 (0 this week)

Watchers 7 (0 this week)

Forks 1

License apache-2.0

Ranking

RepositoryStats indexes 630,443 repositories, of these can-lehmann/exprgrad is ranked #270,210 (57th percentile) for total stargazers, and #261,032 for total watchers. Github reports the primary language for this repository as Nim, for repositories using this language it is ranked #199/516.

can-lehmann/exprgrad is also tagged with popular topics, for these it's ranked: deep-learning (#4,747/8798), machine-learning (#4,494/8384), neural-network (#661/1136), compiler (#654/1086), ml (#358/653), llvm (#205/339), nim (#130/287), opencl (#111/171)

Other Information

There have been 3 releases, the latest one was published on 2022-10-22 (2 years ago) with the name 0.1.0.

All Topics

ml dsl nim llvm opencl tensor autodiff compiler gradient deep-learning neural-network machine-learning automatic-differentiation

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Recent Commit History

121 commits on the default branch (main) since jan '22

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Languages

The primary language is Nim but there's also others...

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updated: 2024-12-30 @ 07:38am, id: 414133365 / R_kgDOGK8sdQ