{"id":21646517,"url":"https://github.com/si-cim/prototorch","last_synced_at":"2025-04-11T19:22:05.125Z","repository":{"id":45075462,"uuid":"238883226","full_name":"si-cim/prototorch","owner":"si-cim","description":"ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms. ","archived":false,"fork":false,"pushed_at":"2024-04-30T08:03:08.000Z","size":422,"stargazers_count":19,"open_issues_count":2,"forks_count":9,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-25T15:15:34.841Z","etag":null,"topics":["interpretable-ai","lvq","machine-learning","python","pytorch"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/si-cim.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":"2020-02-07T09:11:35.000Z","updated_at":"2024-09-13T04:34:54.000Z","dependencies_parsed_at":"2024-04-29T07:34:47.518Z","dependency_job_id":"e6c9e1ba-9056-4b0b-ae92-62034c9f1c40","html_url":"https://github.com/si-cim/prototorch","commit_stats":{"total_commits":312,"total_committers":9,"mean_commits":"34.666666666666664","dds":0.2660256410256411,"last_synced_commit":"4a7d4a3d9922be64f9b05b7ceeef6b53260edba3"},"previous_names":[],"tags_count":22,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/si-cim%2Fprototorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/si-cim%2Fprototorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/si-cim%2Fprototorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/si-cim%2Fprototorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/si-cim","download_url":"https://codeload.github.com/si-cim/prototorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248465352,"owners_count":21108244,"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","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":["interpretable-ai","lvq","machine-learning","python","pytorch"],"created_at":"2024-11-25T06:45:25.995Z","updated_at":"2025-04-11T19:22:05.105Z","avatar_url":"https://github.com/si-cim.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ProtoTorch: Prototype Learning in PyTorch\n\n![ProtoTorch Logo](https://prototorch.readthedocs.io/en/latest/_static/horizontal-lockup.png)\n\n![tests](https://github.com/si-cim/prototorch/workflows/tests/badge.svg)\n[![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/si-cim/prototorch?color=yellow\u0026label=version)](https://github.com/si-cim/prototorch/releases)\n[![PyPI](https://img.shields.io/pypi/v/prototorch)](https://pypi.org/project/prototorch/)\n[![GitHub license](https://img.shields.io/github/license/si-cim/prototorch)](https://github.com/si-cim/prototorch/blob/master/LICENSE)\n\n*Tensorflow users, see:* [ProtoFlow](https://github.com/si-cim/protoflow)\n\n## Description\n\nThis is a Python toolbox brewed at the Mittweida University of Applied Sciences\nin Germany for bleeding-edge research in Prototype-based Machine Learning\nmethods and other interpretable models. The focus of ProtoTorch is ease-of-use,\nextensibility and speed.\n\n## Installation\n\nProtoTorch can be installed using `pip`.\n```bash\npip install -U prototorch\n```\nTo also install the extras, use\n```bash\npip install -U prototorch[all]\n```\n\n*Note: If you're using [ZSH](https://www.zsh.org/) (which is also the default\nshell on MacOS now), the square brackets `[ ]` have to be escaped like so:\n`\\[\\]`, making the install command `pip install -U prototorch\\[all\\]`.*\n\nTo install the bleeding-edge features and improvements:\n```bash\ngit clone https://github.com/si-cim/prototorch.git\ncd prototorch\ngit checkout dev\npip install -e .[all]\n```\n\n## Documentation\n\nThe documentation is available at \u003chttps://www.prototorch.ml/en/latest/\u003e. Should\nthat link not work try \u003chttps://prototorch.readthedocs.io/en/latest/\u003e.\n\n## Contribution\n\nThis repository contains definition for [git hooks](https://githooks.com).\n[Pre-commit](https://pre-commit.com) is automatically installed as development\ndependency with prototorch or you can install it manually with `pip install\npre-commit`.\n\nPlease install the hooks by running:\n```bash\npre-commit install\npre-commit install --hook-type commit-msg\n```\nbefore creating the first commit.\n\nThe commit will fail if the commit message does not follow the specification\nprovided [here](https://www.conventionalcommits.org/en/v1.0.0/#specification).\n\n## Bibtex\n\nIf you would like to cite the package, please use this:\n```bibtex\n@misc{Ravichandran2020b,\n  author = {Ravichandran, J},\n  title = {ProtoTorch},\n  year = {2020},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished = {\\url{https://github.com/si-cim/prototorch}}\n}\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsi-cim%2Fprototorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsi-cim%2Fprototorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsi-cim%2Fprototorch/lists"}