{"id":13773651,"url":"https://github.com/Lplenka/PyTorch-Tutorial","last_synced_at":"2025-05-11T05:35:08.754Z","repository":{"id":115714797,"uuid":"155838393","full_name":"Lplenka/PyTorch-Tutorial","owner":"Lplenka","description":"Repo to learn pytorch ","archived":false,"fork":false,"pushed_at":"2018-11-22T11:42:41.000Z","size":2968,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-17T08:44:26.801Z","etag":null,"topics":["pytorch-cnn","pytorch-implmention","pytorch-tutorial"],"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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Lplenka.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2018-11-02T08:45:57.000Z","updated_at":"2019-06-25T14:39:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"d7b88ffe-f124-4b71-b618-f76b859f99d6","html_url":"https://github.com/Lplenka/PyTorch-Tutorial","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/Lplenka%2FPyTorch-Tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lplenka%2FPyTorch-Tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lplenka%2FPyTorch-Tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lplenka%2FPyTorch-Tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Lplenka","download_url":"https://codeload.github.com/Lplenka/PyTorch-Tutorial/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253523688,"owners_count":21921815,"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":["pytorch-cnn","pytorch-implmention","pytorch-tutorial"],"created_at":"2024-08-03T17:01:18.526Z","updated_at":"2025-05-11T05:35:03.740Z","avatar_url":"https://github.com/Lplenka.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebooks"],"sub_categories":[],"readme":"# PyTorch-Tutorial\nRepo to learn PyTorch \n---\n---\n### [PYtorch_Intro](https://github.com/Lplenka/PyTorch-Tutorial/blob/master/Pytorch_Intro.ipynb)\n* [Pytorch Introduction](#Pytorch-Introduction)\n    * [PyTorch provides two high-level features](#PyTorch-provides-two-high-level-features)\n* [Environment Configuration](#Environment-Configuration)\n    * [Install pytorch on Windows Snapshop Tutorial](https://www.superdatascience.com/pytorch/)\n* [**Section : 1. Pytorch Basic Foundation**]\n    * Tensor\n        * Construct a 5x3 matrix uninitialized\n        * Convert to numpy\n        * Size of tensor\n        * From Numpy to tensor\n    * Tensor Operation\n        * Random similar to numpy\n        * Construct a matrix filled zeros and of dtype long\n        * Construct a tensor directly from data\n        * Create tensor based on existing tensor\n        * Basic Tensor Operation\n    * Variable\n    * Activation Function\n        * Generate Fake Data\n        * Popular Activation Function\n        * Activation Function plot from data\n---\n## [Neural Networks](https://github.com/Lplenka/PyTorch-Tutorial/blob/master/Neural%20Networks.ipynb)\n* [**Section : 1. Neural Network**]\n     * Linear Regression\n     * Neural Network for Regression\n     * Neural Network for Classification\n     * Faster way to build models\n     * Save and Reload Model\n     * Train on Batch\n     * Optimizers\n \n* [**Section : 2. Advance Neural Network**]\n    * CNN\n    * RNN Coming Soon...\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FLplenka%2FPyTorch-Tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FLplenka%2FPyTorch-Tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FLplenka%2FPyTorch-Tutorial/lists"}