aksh-ai / neuralBlack

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Date Created 2020-04-02 (4 years ago)

Commits 40 (last one 3 years ago)

Stargazers 133 (0 this week)

Watchers 3 (0 this week)

Forks 46

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RepositoryStats indexes 630,459 repositories, of these aksh-ai/neuralBlack is ranked #251,353 (60th percentile) for total stargazers, and #416,812 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,097/18,993.

aksh-ai/neuralBlack is also tagged with popular topics, for these it's ranked: deep-learning (#4,506/8797), pytorch (#3,192/6208), neural-networks (#410/757), cnn (#259/572), classification (#266/571), transfer-learning (#134/323)

Other Information

aksh-ai/neuralBlack has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 2 closed issues.

All Topics

cnn brain torch resnet pytorch accuracy resnet-50 brain-tumor braintumour brain-tumour deep-learning classification neural-networks transferlearning transfer-learning cnn-classification brain-tumor-detection brain-tumor-classification

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updated: 2025-03-15 @ 04:40pm, id: 252519703 / R_kgDODw0lFw