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 (12 months ago)

Commits 14 (last one 2 months ago)

Stargazers 47 (1 this week)

Watchers 7 (0 this week)

Forks 3

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RepositoryStats indexes 630,459 repositories, of these matlab-deep-learning/constrained-deep-learning is ranked #506,699 (20th percentile) for total stargazers, and #260,990 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #1,216/1,629.

matlab-deep-learning/constrained-deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#7,492/8797), neural-networks (#666/757)

Other Information

matlab-deep-learning/constrained-deep-learning has Github issues enabled, there is 1 open issue and 0 closed issues.

There have been 4 releases, the latest one was published on 2025-01-13 (2 months ago) with the name Fully Input Convex CNNs Example.

All Topics

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

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

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The only known language in this repository is MATLAB

updated: 2025-03-21 @ 05:59am, id: 777369010 / R_kgDOLlW1sg