{"id":21022562,"url":"https://github.com/alro10/pytorch1.xtutorials-gcolab","last_synced_at":"2026-05-09T16:03:45.157Z","repository":{"id":121033090,"uuid":"181380540","full_name":"Alro10/PyTorch1.xTutorials-Gcolab","owner":"Alro10","description":"PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.","archived":false,"fork":false,"pushed_at":"2019-11-18T15:47:48.000Z","size":159,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-06-23T18:50:31.012Z","etag":null,"topics":["colab","convnets","deep-learning","gans","google-colab","google-colab-tutorial","google-colaboratory","linear-regression","logistic-regression","machine-learning","pytorch","pytorch-1","pytorch-examples","pytorch-tutorial","regression"],"latest_commit_sha":null,"homepage":"","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/Alro10.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-04-14T23:22:12.000Z","updated_at":"2023-04-25T06:33:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"cbfdec94-5630-46a7-abf4-a3a1d7bd7fb0","html_url":"https://github.com/Alro10/PyTorch1.xTutorials-Gcolab","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Alro10/PyTorch1.xTutorials-Gcolab","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2FPyTorch1.xTutorials-Gcolab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2FPyTorch1.xTutorials-Gcolab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2FPyTorch1.xTutorials-Gcolab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2FPyTorch1.xTutorials-Gcolab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Alro10","download_url":"https://codeload.github.com/Alro10/PyTorch1.xTutorials-Gcolab/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2FPyTorch1.xTutorials-Gcolab/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281107348,"owners_count":26444842,"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":"2025-10-26T02:00:06.575Z","response_time":61,"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":["colab","convnets","deep-learning","gans","google-colab","google-colab-tutorial","google-colaboratory","linear-regression","logistic-regression","machine-learning","pytorch","pytorch-1","pytorch-examples","pytorch-tutorial","regression"],"created_at":"2024-11-19T11:12:48.385Z","updated_at":"2025-10-26T13:06:18.478Z","avatar_url":"https://github.com/Alro10.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyTorch 1.x Tutorials (step by step) with Google Colaboratory\n[![PRsWelcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://github.com/Alro10/PyTorch1.0Tutorials/blob/master/PyTorch.png\" alt=\"alt text\" width=\"60%\" height=\"60%\"\u003e\n\u003c/p\u003e\n\nTutorials: Overview, Linear Regression, Logistic Regression, Shallow Neural Networks, ConvNets, RNNs and LSTM, GANs, VAEs, Tensorboard with Pytorch, etc.[Official PyTorch site](https://pytorch.org/). \n\n*under developing!*\n\n## Installation\n\n* Python 3.5\n\n**No CUDA**\n```\npip3 install https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl\npip3 install torchvision\n```\n\n\n**CUDA 8.0**\n```\npip3 install https://download.pytorch.org/whl/cu80/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl\npip3 install torchvision\n```\n\n**CUDA 9.0**\n```\npip3 install torch torchvision\n```\n\n**CUDA 10.0**\n```\npip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl\npip3 install torchvision\n```\n**Google Colaboratory**\n\nIn Google colab you can only use Python 3.6 and Pytorch 1.1 is available. Also you can run coding for free! click on ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg) and try yourself on colab, File -\u003e Save in drive -\u003e Run on your G Colab.\n\n\n\n\n## TODO\n\n- [x] [Overview](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson01-Overview/01_tensor_tutorial.ipynb)\n- [x] [Linear Regression](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson02-Linear-Regression/02_linear_regression.ipynb)\n + Check [torch.nn](https://pytorch.org/docs/stable/nn.html) out for better understanding `nn.module`.\n- [x] [Logistic Regression](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson03-Logistic-Regression/03_logistic_mnist.ipynb)\n- [X] [MNIST (shallow neural network)](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson04-Neural-Network/04_NeuralNets_mnist.ipynb)\n- [x] [ConvNets-MNIST](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson05-ConvNets/05_ConvNets_mnist.ipynb)\n- [ ] FashionMNIST\n- [ ] CIFAR10\n- [ ] ResNet\n- [ ] YOLO\n- [ ] Deep Reinforcement Learning\n- [ ] Meta Reinforcement Learning\n- [ ] GANs\n- [ ] VAEs\n- [ ] Model Predictive Control (MPC)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fpytorch1.xtutorials-gcolab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falro10%2Fpytorch1.xtutorials-gcolab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fpytorch1.xtutorials-gcolab/lists"}