{"id":13478075,"url":"https://github.com/google/jaxopt","last_synced_at":"2025-10-21T20:35:38.323Z","repository":{"id":36952878,"uuid":"385326325","full_name":"google/jaxopt","owner":"google","description":"Hardware accelerated, batchable and differentiable optimizers in JAX.","archived":false,"fork":false,"pushed_at":"2025-03-18T13:34:44.000Z","size":3450,"stargazers_count":955,"open_issues_count":141,"forks_count":68,"subscribers_count":17,"default_branch":"main","last_synced_at":"2025-03-18T14:31:21.034Z","etag":null,"topics":["bi-level","deep-learning","differentiable-programming","jax","optimization"],"latest_commit_sha":null,"homepage":"https://jaxopt.github.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/google.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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":"2021-07-12T17:16:53.000Z","updated_at":"2025-03-18T13:34:51.000Z","dependencies_parsed_at":"2023-09-26T16:28:47.233Z","dependency_job_id":"db2f9334-8e16-4020-ad0d-eda6d055234c","html_url":"https://github.com/google/jaxopt","commit_stats":{"total_commits":325,"total_committers":39,"mean_commits":8.333333333333334,"dds":0.6030769230769231,"last_synced_commit":"4aa9bc91cbc77a667aeaa40e9026aed10c959eff"},"previous_names":[],"tags_count":17,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fjaxopt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fjaxopt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fjaxopt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fjaxopt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/google","download_url":"https://codeload.github.com/google/jaxopt/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245802220,"owners_count":20674612,"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":["bi-level","deep-learning","differentiable-programming","jax","optimization"],"created_at":"2024-07-31T16:01:52.112Z","updated_at":"2025-10-21T20:35:38.318Z","avatar_url":"https://github.com/google.png","language":"Python","funding_links":[],"categories":["Python","Recently Updated","Implementation in JAX","Libraries"],"sub_categories":["[Feb 16, 2025](/content/2025/02/16/README.md)","Other","New Libraries"],"readme":"# JAXopt\n\n[**Status**](#status)\n| [**Installation**](#installation)\n| [**Documentation**](https://jaxopt.github.io)\n| [**Examples**](https://github.com/google/jaxopt/tree/main/examples)\n| [**Cite us**](#citeus)\n\nHardware accelerated, batchable and differentiable optimizers in\n[JAX](https://github.com/google/jax).\n\n- **Hardware accelerated:** our implementations run on GPU and TPU, in addition\n  to CPU.\n- **Batchable:** multiple instances of the same optimization problem can be\n  automatically vectorized using JAX's vmap.\n- **Differentiable:** optimization problem solutions can be differentiated with\n  respect to their inputs either implicitly or via autodiff of unrolled\n  algorithm iterations.\n\n## Status\u003ca id=\"status\"\u003e\u003c/a\u003e\n\nJAXopt is no longer maintained nor developed. Alternatives may be found on the\nJAX [website](https://docs.jax.dev/en/latest/). Some of its features (like\nlosses, projections, lbfgs optimizer) have been ported into\n[optax](https://github.com/google-deepmind/optax). We are sincerely grateful for\nall the community contributions the project has garnered over the years.\n\n## Installation\u003ca id=\"installation\"\u003e\u003c/a\u003e\n\nTo install the latest release of JAXopt, use the following command:\n\n```bash\n$ pip install jaxopt\n```\n\nTo install the **development** version, use the following command instead:\n\n```bash\n$ pip install git+https://github.com/google/jaxopt\n```\n\nAlternatively, it can be installed from sources with the following command:\n\n```bash\n$ python setup.py install\n```\n\n## Cite us\u003ca id=\"citeus\"\u003e\u003c/a\u003e\n\nOur implicit differentiation framework is described in this\n[paper](https://arxiv.org/abs/2105.15183). To cite it:\n\n```\n@article{jaxopt_implicit_diff,\n  title={Efficient and Modular Implicit Differentiation},\n  author={Blondel, Mathieu and Berthet, Quentin and Cuturi, Marco and Frostig, Roy \n    and Hoyer, Stephan and Llinares-L{\\'o}pez, Felipe and Pedregosa, Fabian \n    and Vert, Jean-Philippe},\n  journal={arXiv preprint arXiv:2105.15183},\n  year={2021}\n}\n```\n\n## Disclaimer\n\nJAXopt was an open source project maintained by a dedicated team in Google\nResearch. It is not an official Google product.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fjaxopt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle%2Fjaxopt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fjaxopt/lists"}