{"id":13869786,"url":"https://github.com/stefanwebb/flowtorch-old","last_synced_at":"2025-07-15T18:31:59.637Z","repository":{"id":54239253,"uuid":"319462395","full_name":"stefanwebb/flowtorch-old","owner":"stefanwebb","description":"Separating Normalizing Flows code from Pyro and improving API","archived":false,"fork":false,"pushed_at":"2021-08-26T05:37:58.000Z","size":4409,"stargazers_count":36,"open_issues_count":16,"forks_count":1,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-08-06T21:21:06.440Z","etag":null,"topics":["bayesian-inference","bayesian-statistics","normalizing-flows","probabilistic-graphical-models","probabilistic-models","probabilistic-programming","pytorch"],"latest_commit_sha":null,"homepage":"https://flowtorch.ai","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/stefanwebb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-12-07T22:37:50.000Z","updated_at":"2024-01-04T16:52:55.000Z","dependencies_parsed_at":"2022-08-13T09:50:34.464Z","dependency_job_id":null,"html_url":"https://github.com/stefanwebb/flowtorch-old","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stefanwebb%2Fflowtorch-old","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stefanwebb%2Fflowtorch-old/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stefanwebb%2Fflowtorch-old/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stefanwebb%2Fflowtorch-old/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stefanwebb","download_url":"https://codeload.github.com/stefanwebb/flowtorch-old/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226062813,"owners_count":17567898,"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":["bayesian-inference","bayesian-statistics","normalizing-flows","probabilistic-graphical-models","probabilistic-models","probabilistic-programming","pytorch"],"created_at":"2024-08-05T20:01:17.016Z","updated_at":"2024-11-23T15:32:01.631Z","avatar_url":"https://github.com/stefanwebb.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg src=\"https://github.com/stefanwebb/flowtorch/raw/master/website/static/img/logo.svg\" width=\"200rem\" /\u003e\u003c/p\u003e\n\n[![](https://github.com/stefanwebb/flowtorch/workflows/Python%20package/badge.svg)](https://github.com/stefanwebb/flowtorch/actions?query=workflow%3A%22Python+package%22)\n\nCopyright (c) FlowTorch Development Team.\n\nThis source code is licensed under the MIT license found in the\n[LICENSE.txt](https://github.com/stefanwebb/flowtorch/blob/master/LICENSE.txt) file in the root directory of this source tree.\n\n\u003e :boom: **This repository contains an archived version of Flowtorch from early 2021. Development has continued in a private repo.**.\n\n# Overview\n\nFlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257).\n\n# Installing\n\nAn easy way to get started is to install from source:\n\n    git clone https://github.com/stefanwebb/flowtorch.git\n    cd flowtorch\n    pip install -e .\n\n# Further Information\n\nWe refer you to the [FlowTorch website](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide:\n\n* [What are normalizing flows?](https://flowtorch.ai/users)\n* [How do I install FlowTorch?](https://flowtorch.ai/users/installation)\n* [How do I construct and train a distribution?](https://flowtorch.ai/users/start)\n* [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev)\n* [Where can I report bugs?](https://github.com/stefanwebb/flowtorch/issues)\n* [Where can I ask general questions and make feature requests?](https://github.com/stefanwebb/flowtorch/discussions)\n* [What features are planned for the near future?](https://github.com/stefanwebb/flowtorch/projects)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstefanwebb%2Fflowtorch-old","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstefanwebb%2Fflowtorch-old","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstefanwebb%2Fflowtorch-old/lists"}