{"id":24702241,"url":"https://github.com/Harry24k/bayesian-neural-network-pytorch","last_synced_at":"2025-10-09T09:30:20.035Z","repository":{"id":38178171,"uuid":"206338758","full_name":"Harry24k/bayesian-neural-network-pytorch","owner":"Harry24k","description":"PyTorch implementation of bayesian neural network [torchbnn]","archived":false,"fork":false,"pushed_at":"2024-07-25T10:55:11.000Z","size":23308,"stargazers_count":533,"open_issues_count":7,"forks_count":86,"subscribers_count":12,"default_branch":"master","last_synced_at":"2025-05-24T20:03:15.132Z","etag":null,"topics":["bayesian","deep-learning","neural-network","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Harry24k.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":"2019-09-04T14:28:12.000Z","updated_at":"2025-05-21T17:45:02.000Z","dependencies_parsed_at":"2024-12-14T15:04:32.445Z","dependency_job_id":"f852f930-3c00-431f-84db-e373d53e8384","html_url":"https://github.com/Harry24k/bayesian-neural-network-pytorch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Harry24k/bayesian-neural-network-pytorch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Harry24k%2Fbayesian-neural-network-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Harry24k%2Fbayesian-neural-network-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Harry24k%2Fbayesian-neural-network-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Harry24k%2Fbayesian-neural-network-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Harry24k","download_url":"https://codeload.github.com/Harry24k/bayesian-neural-network-pytorch/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Harry24k%2Fbayesian-neural-network-pytorch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279001131,"owners_count":26083022,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["bayesian","deep-learning","neural-network","pytorch"],"created_at":"2025-01-27T05:39:36.365Z","updated_at":"2025-10-09T09:30:19.698Z","avatar_url":"https://github.com/Harry24k.png","language":"Python","funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"readme":"# Bayesian-Neural-Network-Pytorch\n\n\u003cp\u003e\n  \u003ca href=\"https://github.com/Harry24k/adversarial-attacks-pytorch/blob/master/LICENSE\"\u003e\u003cimg alt=\"MIT License\" src=\"https://img.shields.io/github/license/Harry24k/bayesian-neural-network-pytorch\" /\u003e\u003c/a\u003e\n  \u003ca href=\"https://img.shields.io/pypi/v/torchbnn\"\u003e\u003cimg alt=\"Pypi\" src=\"https://img.shields.io/pypi/v/torchbnn.svg\" /\u003e\u003c/a\u003e\n  \u003ca href=\"https://bayesian-neural-network-pytorch.readthedocs.io/en/latest/\"\u003e\u003cimg alt=\"Documentation Status\" src=\"https://readthedocs.org/projects/bayesian-neural-network-pytorch/badge/?version=latest\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\nThis is a lightweight repository of bayesian neural network for PyTorch.\n\n## Usage\n\n### :clipboard: Dependencies\n\n- torch 1.2.0\n- python 3.6\n\n\n\n### :hammer: Installation\n\n- `pip install torchbnn` or\n- `git clone https://github.com/Harry24k/bayesian-neural-network-pytorch`\n\n```python\nimport torchbnn\n```\n\n\n\n### :rocket: Demos\n\n* **Bayesian Neural Network Regression** ([code](https://github.com/Harry24k/bayesian-neural-network-pytorch/blob/master/demos/Bayesian%20Neural%20Network%20Regression.ipynb)): \nIn this demo, two-layer bayesian neural network is constructed and trained on simple custom data. It shows how bayesian-neural-network works and randomness of the model.\n* **Bayesian Neural Network Classification** ([code](https://github.com/Harry24k/bayesian-neural-network-pytorch/blob/master/demos/Bayesian%20Neural%20Network%20Classification.ipynb)): \nTo classify Iris data, in this demo, two-layer bayesian neural network is constructed and trained on the Iris data. It shows how bayesian-neural-network works and randomness of the model.\n* **Convert to Bayesian Neural Network** ([code](https://github.com/Harry24k/bayesian-neural-network-pytorch/blob/master/demos/Convert%20to%20Bayesian%20Neural%20Network.ipynb)): \nTo convert a basic neural network to a bayesian neural network, this demo shows how `nonbayes_to_bayes` and `bayes_to_nonbayes` work.\n* **Freeze Bayesian Neural Network** ([code](https://github.com/Harry24k/bayesian-neural-network-pytorch/blob/master/demos/Freeze%20Bayesian%20Neural%20Network.ipynb)): \nTo freeze a bayesian neural network, which means force a bayesian neural network to output same result for same input, this demo shows the effect of `freeze` and `unfreeze`.\n\n\n## Citation\nIf you use this package, please cite the following BibTex (SemanticScholar, GoogleScholar):\n\n```\n@article{lee2022graddiv,\n  title={Graddiv: Adversarial robustness of randomized neural networks via gradient diversity regularization},\n  author={Lee, Sungyoon and Kim, Hoki and Lee, Jaewook},\n  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},\n  year={2022},\n  publisher={IEEE}\n}\n```\n\n## :mag_right: Update Records\n\nHere is [update records](Update%20Records.md) of this package.\n\n\n## Thanks to\n\n* @kumar-shridhar [github:PyTorch-BayesianCNN](https://github.com/kumar-shridhar/PyTorch-BayesianCNN)\n* @xuanqing94 [github:BayesianDefense](https://github.com/xuanqing94/BayesianDefense)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FHarry24k%2Fbayesian-neural-network-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FHarry24k%2Fbayesian-neural-network-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FHarry24k%2Fbayesian-neural-network-pytorch/lists"}