matlab-deep-learning / constrained-deep-learning

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

Date Created 2024-03-25 (3 months ago)

Commits 4 (last one 3 months ago)

Stargazers 31 (0 this week)

Watchers 7 (0 this week)

Forks 2

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RepositoryStats indexes 534,880 repositories, of these matlab-deep-learning/constrained-deep-learning is ranked #512,654 (4th percentile) for total stargazers, and #259,002 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #1,169/1,213.

matlab-deep-learning/constrained-deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#7,633/7826), neural-networks (#661/676)

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All Topics

convex lipschitz monotonic monotonicity deep-learning ai-verification neural-networks lipschitz-network convex-neural-network deep-learning-algorithms

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The only known language in this repository is MATLAB

updated: 2024-06-29 @ 06:41am, id: 777369010 / R_kgDOLlW1sg