{"id":19194831,"url":"https://github.com/michabirklbauer/neuralnet","last_synced_at":"2026-05-16T06:34:04.300Z","repository":{"id":168293233,"uuid":"582777592","full_name":"michabirklbauer/neuralnet","owner":"michabirklbauer","description":"Neural Network Implementation in NumPy","archived":false,"fork":false,"pushed_at":"2022-12-30T21:59:38.000Z","size":9255,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-23T04:29:38.416Z","etag":null,"topics":["backpropagation","classification","educational","feedforward-neural-network","from-scratch","neural-network","numpy"],"latest_commit_sha":null,"homepage":"https://michabirklbauer.github.io/neuralnet","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/michabirklbauer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-12-27T20:57:23.000Z","updated_at":"2022-12-30T21:11:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"682905fc-f809-41dd-8032-ac1693c53ad5","html_url":"https://github.com/michabirklbauer/neuralnet","commit_stats":null,"previous_names":["michabirklbauer/neuralnet"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/michabirklbauer/neuralnet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michabirklbauer%2Fneuralnet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michabirklbauer%2Fneuralnet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michabirklbauer%2Fneuralnet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michabirklbauer%2Fneuralnet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/michabirklbauer","download_url":"https://codeload.github.com/michabirklbauer/neuralnet/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michabirklbauer%2Fneuralnet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33092688,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T04:41:52.686Z","status":"ssl_error","status_checked_at":"2026-05-16T04:41:52.009Z","response_time":115,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["backpropagation","classification","educational","feedforward-neural-network","from-scratch","neural-network","numpy"],"created_at":"2024-11-09T12:03:57.888Z","updated_at":"2026-05-16T06:34:04.283Z","avatar_url":"https://github.com/michabirklbauer.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Neural Network Implementation in NumPy\n\nA \"from scratch\" implementation of classic feed-forward neural networks for\nbinary/multi-class classification using ReLU activations, cross entropy loss and\nsigmoid/softmax output.\n\nRead through the documentation in `neuralnet.py` for a description of the\nimplementation.\n\nAn example usage of `neuralnet.py` is given in the `Usage.ipynb` notebook.\n\nAlternatively you can open the whole code in Google Colab -\u003e [here](https://colab.research.google.com/github/michabirklbauer/neuralnet/blob/master/neuralnet-colab.ipynb).\n\n## Requirements\n\n`neuralnet.py` is purely implemented in NumPy:\n- [NumPy](https://numpy.org/): `pip install numpy`\n\nTo run the examples in the `Usage.ipynb` notebook locally please install the\nrequirements noted in `requirements.txt`:\n- [Requirements](https://github.com/michabirklbauer/neuralnet/blob/master/requirements.txt): `pip install -r requirements.txt`\n\n## Data\n\nThe following datasets are used in the examples:\n- Multi-class classification: [MNIST](http://yann.lecun.com/exdb/mnist/index.html)\n- Binary-class classification: [Breast Cancer Wisconsin (Diagnostic) Data Set](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29)\n\n## License\n\n- [MIT](https://github.com/michabirklbauer/neuralnet/blob/master/LICENSE)\n\n## Contact\n\n- [micha.birklbauer@gmail.com](mailto:micha.birklbauer@gmail.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichabirklbauer%2Fneuralnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmichabirklbauer%2Fneuralnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichabirklbauer%2Fneuralnet/lists"}