{"id":21889860,"url":"https://github.com/rdyro/sensitivity_torch","last_synced_at":"2026-05-20T10:11:37.116Z","repository":{"id":75967289,"uuid":"459672316","full_name":"rdyro/sensitivity_torch","owner":"rdyro","description":" PyTorch library for first- and second-order optimization sensitivity analysis ","archived":false,"fork":false,"pushed_at":"2023-07-18T20:06:28.000Z","size":2932,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-26T20:47:06.098Z","etag":null,"topics":["machine-learning","optimization-tools","pytorch"],"latest_commit_sha":null,"homepage":"https://rdyro.github.io/sensitivity_torch/","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/rdyro.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":"2022-02-15T17:03:38.000Z","updated_at":"2024-12-17T11:48:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"12dfaecb-8776-4540-a964-19031d85645a","html_url":"https://github.com/rdyro/sensitivity_torch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rdyro%2Fsensitivity_torch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rdyro%2Fsensitivity_torch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rdyro%2Fsensitivity_torch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rdyro%2Fsensitivity_torch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rdyro","download_url":"https://codeload.github.com/rdyro/sensitivity_torch/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244898409,"owners_count":20528335,"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":["machine-learning","optimization-tools","pytorch"],"created_at":"2024-11-28T11:27:25.618Z","updated_at":"2026-05-20T10:11:37.088Z","avatar_url":"https://github.com/rdyro.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# sensitivity_torch\n\n``sensitivity_torch`` is a package designed to allow taking first- and\n**second-order** derivatives through optimization or any other fixed-point\nprocess.\n\nThis package builds on top of [PyTorch](https://pytorch.org/). We also\nmaintain an implementation in [JAX](https://github.com/google/jax)\n[here](https://rdyro.github.io/sensitivity_jax/).\n\n## Documentation\n\n[Documentation can be found here.](https://rdyro.github.io/sensitivity_torch/)\n\n## Installation\n\nInstall using pip\n```bash\n$ pip install git+https://github.com/rdyro/sensitivity_torch.git\n```\nor from source\n```bash\n$ git clone git@github.com:rdyro/sensitivity_torch.git\n$ cd sensitivity_torch\n$ python3 setup.py install --user\n```\n\n### Testing\n\nRun all unit tests using\n```bash\n$ python3 setup.py test\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frdyro%2Fsensitivity_torch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frdyro%2Fsensitivity_torch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frdyro%2Fsensitivity_torch/lists"}