{"id":20075647,"url":"https://github.com/catalyst-team/dl-course","last_synced_at":"2025-04-07T11:08:41.764Z","repository":{"id":44849270,"uuid":"294901767","full_name":"catalyst-team/dl-course","owner":"catalyst-team","description":"Deep Learning with Catalyst","archived":false,"fork":false,"pushed_at":"2021-09-28T13:25:34.000Z","size":1299,"stargazers_count":290,"open_issues_count":0,"forks_count":71,"subscribers_count":23,"default_branch":"master","last_synced_at":"2024-10-29T18:49:46.656Z","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/catalyst-team.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":"2020-09-12T08:21:48.000Z","updated_at":"2024-10-23T13:40:59.000Z","dependencies_parsed_at":"2022-09-01T20:02:06.589Z","dependency_job_id":null,"html_url":"https://github.com/catalyst-team/dl-course","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/catalyst-team%2Fdl-course","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/catalyst-team%2Fdl-course/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/catalyst-team%2Fdl-course/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/catalyst-team%2Fdl-course/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/catalyst-team","download_url":"https://codeload.github.com/catalyst-team/dl-course/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247640465,"owners_count":20971557,"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":"2024-11-13T15:00:18.345Z","updated_at":"2025-04-07T11:08:41.741Z","avatar_url":"https://github.com/catalyst-team.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning with Catalyst [![Stepik](https://img.shields.io/badge/DLS-Stepik-success)](https://stepik.org/course/83344/syllabus) [![Slack](https://img.shields.io/badge/Catalyst-slack-success)](https://join.slack.com/t/catalyst-team-devs/shared_invite/zt-d9miirnn-z86oKDzFMKlMG4fgFdZafw)\n\n[![dls-catalyst-course](https://github.com/catalyst-team/catalyst-pics/blob/master/pics/catalyst-dl-course-poster-eng.png)](https://github.com/catalyst-team/dl-course)\n\nThis is an open deep learning course made by [Deep Learning School](https://dlschool.org), [Tinkoff](https://tinkoff.ru), and [Catalyst team](https://github.com/catalyst-team). \nLectures and practice notebooks located in ```./week*``` folders. Homeworks are in ```./homework*``` folders.\n\n\u003e *Note: the course is under update: \n\u003e weeks with colab barge are ready to go, weeks with [WIP] label are still in progress. \n\u003e You could use the `v20.12` branch for the earlier version of the full course.*\n\n## Syllabus\n\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-01/seminar.ipynb) week 1: Deep learning intro\n  - Deep learning – introduction, backpropagation algorithm. Optimization methods.\n  - Neural Network in numpy.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-02/seminar.ipynb) week 2: Deep learning frameworks\n  - Regularization methods and deep learning frameworks.\n  - Pytorch basics \u0026 extras.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-03/seminar.ipynb) week 3: Convolutional Neural Network\n  - CNN. Model Zoo.\n  - Convolutional kernels. ResNet. Simple Noise Attack.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-04/seminar_done.ipynb) week 4: Object Detection, Image Segmentation\n  - Object Detection. (One, Two)-Stage methods. Anchors.\n  - Image Segmentation. Up-scaling. FCN, U-net, FPN. DeepMask.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-05/seminar_done.ipynb) week 5: Metric Learning\n  - Metric Learning. Contrastive and Triplet Loss. Samplers.\n  - Cross Entropy Loss modifications. SphereFace, CosFace, ArcFace.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-06/seminar_done.ipynb) week 6: Autoencoders\n  - AutoEncoders. Denoise, Sparse, Variational.\n  - Generative Models. Autoregressive models.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-07/seminar_done.ipynb) week 7: Generative Adversarial Models\n  - Generative Adversarial Networks. VAE-GAN. AAE.\n  - Energy based model.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-08/seminar_done.ipynb) week 8: Natural Language Processing\n  - Embeddings.\n  - RNN. LSTM, GRU.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-09/seminar_done.ipynb) week 9: Attention and transformer model\n  - Attention Mechanism.\n  - Transformer Model.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-10/seminar_done.ipynb) week 10: Transfer Learning in NLP\n  - Pretrained Transformers. BERT. GPT.\n  - Data Augmentation in Texts. Domain Adaptation.\n- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-11/seminar_done.ipynb) week 11: Recommender Systems\n  - Collaborative Filtering. FunkSVD.\n  - Neural Collaborative Filtering.\n- week 12: Reinforcement Learning for RecSys\n  - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-12/Catalyst_RL_DQN_done.ipynb) DQN Algorithm. \n  - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-12/Catalyst_RL_DDPG_done.ipynb) DDPG Algorithm.\n  - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/dl-course/blob/master/week-12/Catalyst_RL_RecSim_done.ipynb) RecSim with Wolpertinger.\n- *[WIP] week 13: Extras*\n  - Research \u0026 Deploy.\n  - Config API. Reaction.\n  \n## Environment\n\n### Anaconda setup\n```bash\n# setup - env\nconda create -n catalyst-dl python=3.7 anaconda\nsource activate catalyst-dl\nconda remove nb_conda_kernels -y\nconda install -c conda-forge nb_conda_kernels -y\nconda install notebook jupyter nb_conda -y\nconda remove nbpresent -y\n\n# setup - jupyter\njupyter notebook password\n\n# jupyter run\njupyter notebook --no-browser --ip 0.0.0.0 --port 8888\n```\n\n### Requirements\n```bash\npip install -U catalyst==21.04.2 torch==1.8.0 albumentations==0.5.0\n```\n\n## Course staff \u0026 contributors\n\n- [@AlexeySh](https://github.com/AlekseySh)\n- [@artek0chumak](https://github.com/artek0chumak)\n- [@elephantmipt](https://github.com/elephantmipt)\n- [@Inkln](https://github.com/Inkln)\n- [@Fulldis](https://github.com/Fulldis)\n- [@lordofprograms](https://github.com/lordofprograms)\n- [@Scitator](https://github.com/Scitator)\n- [@zelcookie](https://github.com/zelcookie)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatalyst-team%2Fdl-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcatalyst-team%2Fdl-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatalyst-team%2Fdl-course/lists"}