{"id":13562028,"url":"https://github.com/t-vi/pytorch-tvmisc","last_synced_at":"2025-10-05T06:09:10.378Z","repository":{"id":19676726,"uuid":"87630538","full_name":"t-vi/pytorch-tvmisc","owner":"t-vi","description":"Totally Versatile Miscellanea for Pytorch","archived":false,"fork":false,"pushed_at":"2022-03-20T04:53:12.000Z","size":3762,"stargazers_count":470,"open_issues_count":4,"forks_count":73,"subscribers_count":13,"default_branch":"master","last_synced_at":"2025-03-29T17:11:14.179Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/t-vi.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}},"created_at":"2017-04-08T11:56:56.000Z","updated_at":"2025-02-13T02:00:19.000Z","dependencies_parsed_at":"2022-07-09T09:16:22.086Z","dependency_job_id":null,"html_url":"https://github.com/t-vi/pytorch-tvmisc","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/t-vi%2Fpytorch-tvmisc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/t-vi%2Fpytorch-tvmisc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/t-vi%2Fpytorch-tvmisc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/t-vi%2Fpytorch-tvmisc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/t-vi","download_url":"https://codeload.github.com/t-vi/pytorch-tvmisc/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247378149,"owners_count":20929297,"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":[],"created_at":"2024-08-01T13:01:03.782Z","updated_at":"2025-10-05T06:09:05.358Z","avatar_url":"https://github.com/t-vi.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook","Pytorch elsewhere ｜ Pytorch相关","Pytorch elsewhere"],"sub_categories":["Other libraries｜其他库:","Other libraries:"],"readme":"# Totally Versatile Miscellania for PyTorch\n\n*Thomas Viehmann* \u003ctv@lernapparat.de\u003e\n\nThis repository collects various things I have implmented for PyTorch\n\n## Layers, autograd functions and calculations\n\n- [2d Wavelet Transformation using PyTorch convolutions and coefficents from PyWavelet](misc/2D-Wavelet-Transform.ipynb)\n- [Implicit Function Theorem and Implicit Functions in PyTorch](misc/Implicit_Functions_Pytorch.ipynb)\n- [Wasserstein Distance of Histograms/Distributions](wasserstein-distance/Pytorch_Wasserstein.ipynb)\n\n## Learning approaches\n\n- [Gaussian Process Regression](misc/gaussian_process_regression_basic.ipynb) see also [candlegp](https://github.com/t-vi/candlegp), a more complete GP library for PyTorch\n- [1d Gaussian Mixture Density Networks](misc/Mixture_Density_Network_Gaussian_1d.ipynb)\n\n## Generative Adversarial Networks\n\nWasserstein GAN - See also my two [blog](http://lernapparat.de/improved-wasserstein-gan/) [posts](http://lernapparat.de/more-improved-wgan/)\non the subject\n\n- [Semi-Improved Training of Wasserstein GAN](wasserstein-distance/Semi-Improved_Training_of_Wasserstein_GAN.ipynb)\n- [Improved Training of Wasserstein GAN](wasserstein-distance/Improved_Training_of_Wasserstein_GAN.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ft-vi%2Fpytorch-tvmisc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ft-vi%2Fpytorch-tvmisc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ft-vi%2Fpytorch-tvmisc/lists"}