{"id":18674042,"url":"https://github.com/jmaczan/deep-learning-pytorch","last_synced_at":"2025-11-07T01:30:36.376Z","repository":{"id":223180409,"uuid":"759509730","full_name":"jmaczan/deep-learning-pytorch","owner":"jmaczan","description":"Deep Learning architectures implemented in PyTorch Lightning","archived":false,"fork":false,"pushed_at":"2024-06-23T09:50:34.000Z","size":113,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-12-27T20:13:12.289Z","etag":null,"topics":["alexnet","artificial-intelligence","cnn","deep-learning","deep-learning-algorithms","deep-learning-architectures","educational","lenet","machine-learning","pytorch","pytorch-lightning"],"latest_commit_sha":null,"homepage":"https://maczan.pl","language":"Python","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/jmaczan.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-18T19:30:57.000Z","updated_at":"2024-06-23T09:50:37.000Z","dependencies_parsed_at":"2024-04-05T08:48:58.143Z","dependency_job_id":null,"html_url":"https://github.com/jmaczan/deep-learning-pytorch","commit_stats":null,"previous_names":["jmaczan/deep-learning-pytorch"],"tags_count":0,"template":false,"template_full_name":"ashleve/lightning-hydra-template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Fdeep-learning-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Fdeep-learning-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Fdeep-learning-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Fdeep-learning-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmaczan","download_url":"https://codeload.github.com/jmaczan/deep-learning-pytorch/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239515293,"owners_count":19651720,"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":["alexnet","artificial-intelligence","cnn","deep-learning","deep-learning-algorithms","deep-learning-architectures","educational","lenet","machine-learning","pytorch","pytorch-lightning"],"created_at":"2024-11-07T09:17:19.431Z","updated_at":"2025-11-07T01:30:36.305Z","avatar_url":"https://github.com/jmaczan.png","language":"Python","readme":"\u003cdiv align=\"center\"\u003e\n\n# 🌸 Deep Learning models implemented in PyTorch\n\n\u003ca href=\"https://pytorch.org/get-started/locally/\"\u003e\u003cimg alt=\"PyTorch\" src=\"https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white\"\u003e\u003c/a\u003e\n\u003ca href=\"https://pytorchlightning.ai/\"\u003e\u003cimg alt=\"Lightning\" src=\"https://img.shields.io/badge/-Lightning-792ee5?logo=pytorchlightning\u0026logoColor=white\"\u003e\u003c/a\u003e\n\u003ca href=\"https://hydra.cc/\"\u003e\u003cimg alt=\"Config: Hydra\" src=\"https://img.shields.io/badge/Config-Hydra-89b8cd\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ashleve/lightning-hydra-template\"\u003e\u003cimg alt=\"Template\" src=\"https://img.shields.io/badge/-Lightning--Hydra--Template-017F2F?style=flat\u0026logo=github\u0026labelColor=gray\"\u003e\u003c/a\u003e\u003cbr\u003e\n\n\u003c/div\u003e\n\n## Description\n\n[A collection of deep learning models implemented in PyTorch and PyTorch Lightning for educational purposes](src/models/components)\n\n- [x] [LeNet](http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf)\n- [x] [AlexNet](https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf) - [maczan.pl blog post](https://maczan.pl/p/alexnet-from-scratch-in-pytorch-lightning)\n- [x] [VGG](https://arxiv.org/pdf/1409.1556.pdf) for ImageNet\n- [ ] ResNet  📝 In progress 📚\n- [ ] RNN\n- [ ] LSTM\n- [ ] GRU (Gated Recurrent Units)\n- [ ] Inception\n- [ ] DenseNet\n- [ ] Transformer\n- [ ] ViT\n- [ ] Sequence-to-Sequence\n- [x] GPT - [separate repo](https://github.com/jmaczan/gpt)\n- [ ] BERT\n- [ ] VAE (Variational autoencoder)\n- [ ] GAN\n- [ ] U-Net\n- [ ] Siamese Network\n- [ ] DQN\n- [ ] A3C\n- [ ] Neural ODEs (ordinary differential equations)\n- [ ] GNN (Graph Neural Network)\n- [ ] EfficientNet\n\n## Installation\n\n#### Pip\n\n```bash\n# clone project\ngit clone https://github.com/jmaczan/deep-learning-pytorch\ncd deep-learning-pytorch\n\n# [OPTIONAL] create conda environment\nconda create -n deep-learning-pytorch python=3.9\nconda activate deep-learning-pytorch\n\n# install pytorch according to instructions\n# https://pytorch.org/get-started/\n\n# install requirements\npip install -r requirements.txt\n```\n\n#### Conda\n\n```bash\n# clone project\ngit clone https://github.com/jmaczan/deep-learning-pytorch\ncd deep-learning-pytorch\n\n# create conda environment and install dependencies\nconda env create -f environment.yaml -n deep-learning-pytorch\n\n# activate conda environment\nconda activate deep-learning-pytorch\n```\n\n## How to run\n\nTrain model with default configuration\n\n```bash\n# train on CPU\npython src/train.py trainer=cpu\n\n# train on GPU\npython src/train.py trainer=gpu\n```\n\nTrain model with chosen experiment configuration from [configs/experiment/](configs/experiment/)\n\n```bash\npython src/train.py experiment=experiment_name.yaml\n```\n\nYou can override any parameter from command line like this\n\n```bash\npython src/train.py trainer.max_epochs=20 data.batch_size=64\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Fdeep-learning-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmaczan%2Fdeep-learning-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Fdeep-learning-pytorch/lists"}