{"id":13642122,"url":"https://github.com/DiffSharp/DiffSharp","last_synced_at":"2025-04-20T15:34:53.763Z","repository":{"id":20164095,"uuid":"23434755","full_name":"DiffSharp/DiffSharp","owner":"DiffSharp","description":"DiffSharp: Differentiable Functional Programming","archived":false,"fork":false,"pushed_at":"2024-04-15T20:25:41.000Z","size":169618,"stargazers_count":587,"open_issues_count":38,"forks_count":67,"subscribers_count":40,"default_branch":"dev","last_synced_at":"2024-11-02T23:31:51.377Z","etag":null,"topics":["autodiff","deep-learning","dotnet","gpu","machine-learning","neural-network","tensor"],"latest_commit_sha":null,"homepage":"http://diffsharp.github.io","language":"F#","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-2-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DiffSharp.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":"2014-08-28T16:19:45.000Z","updated_at":"2024-10-28T21:17:41.000Z","dependencies_parsed_at":"2024-01-11T01:19:14.076Z","dependency_job_id":"7519d24c-9a03-4c29-82e8-9f996a9843f4","html_url":"https://github.com/DiffSharp/DiffSharp","commit_stats":null,"previous_names":[],"tags_count":30,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiffSharp%2FDiffSharp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiffSharp%2FDiffSharp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiffSharp%2FDiffSharp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiffSharp%2FDiffSharp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DiffSharp","download_url":"https://codeload.github.com/DiffSharp/DiffSharp/tar.gz/refs/heads/dev","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223832819,"owners_count":17210716,"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":["autodiff","deep-learning","dotnet","gpu","machine-learning","neural-network","tensor"],"created_at":"2024-08-02T01:01:27.818Z","updated_at":"2024-11-09T13:30:26.378Z","avatar_url":"https://github.com/DiffSharp.png","language":"F#","readme":"\u003cdiv align=\"left\"\u003e\n  \u003ca href=\"https://diffsharp.github.io\"\u003e \u003cimg height=\"80px\" src=\"docs/img/diffsharp-logo-text.png\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\n-----------------------------------------\n\n[![Build Status](https://github.com/DiffSharp/DiffSharp/workflows/Build/test/docs/publish/badge.svg)](https://github.com/DiffSharp/DiffSharp/actions)\n[![Coverage Status](https://coveralls.io/repos/github/DiffSharp/DiffSharp/badge.svg?branch=)](https://coveralls.io/github/DiffSharp/DiffSharp?branch=)\n\nThis is the development branch of DiffSharp 1.0.\n\n\u003e **NOTE: This branch is undergoing development. It has incomplete code, functionality, and design that are likely to change without notice; when using TorchSharp backend, only x64 platform is currently supported out of the box, see [DEVGUIDE.md] for more details.**\n\nDiffSharp is a tensor library with support for [differentiable programming](https://en.wikipedia.org/wiki/Differentiable_programming). It is designed for use in machine learning, probabilistic programming, optimization and other domains.\n\n**Key features**\n\n* Nested and mixed-mode differentiation\n* Common optimizers, model elements, differentiable probability distributions\n* F# for robust functional programming\n* PyTorch familiar naming and idioms, efficient LibTorch CUDA/C++ tensors with GPU support\n* Linux, macOS, Windows supported\n* Use interactive notebooks in Jupyter and Visual Studio Code\n* 100% open source\n\n## Documentation\n\nYou can find the documentation [here](https://diffsharp.github.io/), including information on installation and getting started.\n\nRelease notes can be found [here](https://github.com/DiffSharp/DiffSharp/blob/dev/RELEASE_NOTES.md).\n\n## Communication\n\nPlease use [GitHub issues](https://github.com/DiffSharp/DiffSharp/issues) to share bug reports, feature requests, installation issues, suggestions etc.\n\n## Contributing\n\nWe welcome all contributions.\n\n* Bug fixes: if you encounter a bug, please open an [issue](https://github.com/DiffSharp/DiffSharp/issues) describing the bug. If you are planning to contribute a bug fix, please feel free to do so in a pull request.\n* New features: if you plan to contribute new features, please first open an [issue](https://github.com/DiffSharp/DiffSharp/issues) to discuss the feature before creating a pull request.\n\n## The Team\n\nDiffSharp is developed by [Atılım Güneş Baydin](http://www.robots.ox.ac.uk/~gunes/), [Don Syme](https://www.microsoft.com/en-us/research/people/dsyme/) and other contributors, having started as a project supervised by the automatic differentiation wizards [Barak Pearlmutter](https://scholar.google.com/citations?user=AxFrw0sAAAAJ\u0026hl=en) and [Jeffrey Siskind](https://scholar.google.com/citations?user=CgSBtPYAAAAJ\u0026hl=en).\n\n## License\n\nDiffSharp is licensed under the BSD 2-Clause \"Simplified\" License, which you can find in the [LICENSE](https://github.com/DiffSharp/DiffSharp/blob/dev/LICENSE) file in this repository. \n","funding_links":[],"categories":["Uncategorized","F# #","Other Versions of YOLO","Data Science"],"sub_categories":["Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDiffSharp%2FDiffSharp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDiffSharp%2FDiffSharp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDiffSharp%2FDiffSharp/lists"}