{"id":23060498,"url":"https://github.com/paperspace/pytorch-101-tutorial-series","last_synced_at":"2025-10-11T01:40:18.085Z","repository":{"id":52678658,"uuid":"187890004","full_name":"Paperspace/PyTorch-101-Tutorial-Series","owner":"Paperspace","description":"PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.","archived":false,"fork":false,"pushed_at":"2020-08-19T16:17:48.000Z","size":151,"stargazers_count":263,"open_issues_count":2,"forks_count":58,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-06-11T19:41:28.220Z","etag":null,"topics":["101","deep-learning","neural-networks","pytorch","pytorch-tutorial","sample-code"],"latest_commit_sha":null,"homepage":"https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation","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/Paperspace.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}},"created_at":"2019-05-21T18:08:47.000Z","updated_at":"2025-06-10T14:33:10.000Z","dependencies_parsed_at":"2022-08-21T20:40:12.790Z","dependency_job_id":null,"html_url":"https://github.com/Paperspace/PyTorch-101-Tutorial-Series","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Paperspace/PyTorch-101-Tutorial-Series","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paperspace%2FPyTorch-101-Tutorial-Series","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paperspace%2FPyTorch-101-Tutorial-Series/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paperspace%2FPyTorch-101-Tutorial-Series/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paperspace%2FPyTorch-101-Tutorial-Series/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Paperspace","download_url":"https://codeload.github.com/Paperspace/PyTorch-101-Tutorial-Series/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paperspace%2FPyTorch-101-Tutorial-Series/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279005928,"owners_count":26083986,"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","status":"online","status_checked_at":"2025-10-10T02:00:06.843Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["101","deep-learning","neural-networks","pytorch","pytorch-tutorial","sample-code"],"created_at":"2024-12-16T03:13:15.352Z","updated_at":"2025-10-11T01:40:18.044Z","avatar_url":"https://github.com/Paperspace.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyTorch-101-Tutorial-Series\n\nThis Github Repo contains the supporting Jupyter-notebooks for the [Paperspace blog series on PyTorch](https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation/) covering everything from the basic building blocks all the way to building custom architectures. The series has following parts\n\n## 1-Click Notebooks \n\n\n| Blog Post     |      1-Click Notebook      |\n|:----------|------|\n|  [PyTorch 101 Part 1 - Understanding Computation Graphs and Autograd](https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation)  | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/Paperspace/PyTorch-101-Tutorial-Series/blob/master/PyTorch%20101%20Part%201%20-%20Computational%20Graphs%20and%20Autograd%20in%20PyTorch.ipynb) |\n|  [PyTorch 101 Part 2 - Building Neural Networks With PyTorch](https://blog.paperspace.com/pytorch-101-building-neural-networks)  | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/Paperspace/PyTorch-101-Tutorial-Series/blob/master/PyTorch%20101%20Part%202%20-%20Building%20Neural%20Networks%20With%20PyTorch.ipynb) |\n|  [PyTorch 101 Part 3 - Going Deeper with PyTorch](https://blog.paperspace.com/pytorch-101-advanced/)  | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/Paperspace/PyTorch-101-Tutorial-Series/blob/master/PyTorch%20101%20Part%203%20-%20Advance%20PyTorch%20Usage.ipynb) |\n|  [PyTorch 101 Part 4 - Memory Management and Using Multiple GPUs](https://blog.paperspace.com/pytorch-memory-multi-gpu-debugging/)  | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/Paperspace/PyTorch-101-Tutorial-Series/blob/master/PyTorch%20101%20Part%204%20-Memory%20management%20and%20Multi-GPU%20Usage%20in%20PyTorch.ipynb) |\n|  [PyTorch 101 Part 5 - Understanding Hooks](https://blog.paperspace.com/pytorch-101-advanced/)  | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/Paperspace/PyTorch-101-Tutorial-Series/blob/master/PyTorch%20101%20Part%205%20-%20Understanding%20Hooks%20) |\n\nThe notebooks and links for the rest of the parts will be updated as and when they are published.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaperspace%2Fpytorch-101-tutorial-series","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpaperspace%2Fpytorch-101-tutorial-series","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaperspace%2Fpytorch-101-tutorial-series/lists"}