ecm200 / caltech_birds

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Date Created 2020-06-20 (4 years ago)

Commits 202 (last one 3 years ago)

Stargazers 43 (0 this week)

Watchers 2 (0 this week)

Forks 8

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these ecm200/caltech_birds is ranked #505,506 (15th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,692/17,543.

ecm200/caltech_birds is also tagged with popular topics, for these it's ranked: deep-learning (#7,540/8512), machine-learning (#7,150/8063), pytorch (#5,298/6025), deep-neural-networks (#582/634), cnn (#486/556), image-classification (#345/399)

Other Information

ecm200/caltech_birds has 1 open pull request on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 14 open issues and 15 closed issues.

There have been 18 releases, the latest one was published on 2021-09-21 (3 years ago) with the name v2.5.9.

All Topics

cnn pytorch cub-200-2011 caltech-birds deep-learning machine-learning pytorch-tutorial manifold-learning feature-attribution classification-model deep-neural-networks image-classification activation-maximization

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updated: 2024-12-02 @ 02:44pm, id: 273779753 / R_kgDOEFGMKQ