{"id":14970661,"url":"https://github.com/vahidzee/torchde","last_synced_at":"2025-10-26T13:31:07.529Z","repository":{"id":37477888,"uuid":"500374774","full_name":"vahidzee/torchde","owner":"vahidzee","description":"PyTorch wrapper for Deep Density Estimation Models","archived":false,"fork":false,"pushed_at":"2022-07-19T02:50:01.000Z","size":185,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-09-28T13:22:43.989Z","etag":null,"topics":["density-estimation","energy-based-model","masked-autoencoder","pytorch","sgld"],"latest_commit_sha":null,"homepage":"","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/vahidzee.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null}},"created_at":"2022-06-06T09:44:32.000Z","updated_at":"2023-08-23T11:17:33.000Z","dependencies_parsed_at":"2022-07-19T18:04:25.235Z","dependency_job_id":null,"html_url":"https://github.com/vahidzee/torchde","commit_stats":null,"previous_names":["vahidzee/mdade"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vahidzee%2Ftorchde","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vahidzee%2Ftorchde/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vahidzee%2Ftorchde/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vahidzee%2Ftorchde/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vahidzee","download_url":"https://codeload.github.com/vahidzee/torchde/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":219862887,"owners_count":16555951,"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":["density-estimation","energy-based-model","masked-autoencoder","pytorch","sgld"],"created_at":"2024-09-24T13:43:57.248Z","updated_at":"2025-10-26T13:31:07.112Z","avatar_url":"https://github.com/vahidzee.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Torch Density Estimation\nGeneric implementation of Deep Neural Networks for Density Estimation in [PyTorch](https://pytorch.org/) and [PytorchLightning](https://www.pytorchlightning.ai/). \n\n## Installation\nIn order to network implementations install `torchde` via pip:\n```shell\npip install torchde\n```\nIn case you wish to employ the training procedures and datamodule implementations (on top of `pytorch-lightning`), you would need to install the additional tools as well:\n\n```shell\npip install \"torchde[tools]\"\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvahidzee%2Ftorchde","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvahidzee%2Ftorchde","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvahidzee%2Ftorchde/lists"}