{"id":15037723,"url":"https://github.com/yandexdataschool/practical_dl","last_synced_at":"2025-05-14T05:12:18.334Z","repository":{"id":43815779,"uuid":"68285870","full_name":"yandexdataschool/Practical_DL","owner":"yandexdataschool","description":"DL course co-developed by YSDA, HSE and Skoltech","archived":false,"fork":false,"pushed_at":"2024-12-26T16:39:21.000Z","size":235419,"stargazers_count":1623,"open_issues_count":17,"forks_count":647,"subscribers_count":69,"default_branch":"fall24","last_synced_at":"2025-04-11T02:51:23.834Z","etag":null,"topics":["course","course-materials","deep-learning","lasagne","theano"],"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/yandexdataschool.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2016-09-15T10:43:08.000Z","updated_at":"2025-04-09T11:07:26.000Z","dependencies_parsed_at":"2023-09-26T18:02:16.845Z","dependency_job_id":"806b1403-11c4-46d5-9af8-6a0a0a68e587","html_url":"https://github.com/yandexdataschool/Practical_DL","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/yandexdataschool%2FPractical_DL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2FPractical_DL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2FPractical_DL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2FPractical_DL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yandexdataschool","download_url":"https://codeload.github.com/yandexdataschool/Practical_DL/tar.gz/refs/heads/fall24","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254076851,"owners_count":22010611,"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":["course","course-materials","deep-learning","lasagne","theano"],"created_at":"2024-09-24T20:35:26.497Z","updated_at":"2025-05-14T05:12:13.323Z","avatar_url":"https://github.com/yandexdataschool.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep learning course\n\nThis repo supplements Deep Learning course taught @fall'23. _For previous iteration visit the [spring branch](https://github.com/yandexdataschool/Practical_DL/tree/spring23)._\n\nLecture and practice materials for each week are in ./week* folders. You can complete all asignments locally or in google colab (see readme files in week*)\n\n# General info\n* Telegram [chat room]([https://t.me/+Q3s6oqGWedpmOGUy](https://t.me/+OJLD95o8lYkzZDBi)) (russian).\n* Deadlines \u0026 grading rules can be found at [this page](https://github.com/yandexdataschool/Practical_DL/wiki/Homeworks-and-grading-(HSE)).\n* Any technical issues, ideas, bugs in course materials, contribution ideas - add an [issue](https://github.com/yandexdataschool/practical_dl/issues) or ask around in the chat.\n\n\n# Syllabus\n- __week01__ Intro to deep learning\n  - [ ] Lecture: Deep learning -- introduction, backpropagation algorithm, adaptive optimization methods\n  - [ ] Seminar: Neural networks in numpy\n  - [ ] Homework 1 is out!\n  - [ ] Please begin worrying about [installing pytorch](https://github.com/yandexdataschool/Practical_DL/issues/6). You will need it next week!\n\n- __week02__ Catch-all lecture about deep learning tricks\n  - [ ] Lecture: Deep learning as a language, dropout, batch/layer normalization, other tricks, deep learning frameworks\n  - [ ] Homework 2 is out!\n  - [ ] Seminar: PyTorch basics\n\n- __week03__ Convolutional neural networks\n  - [ ] Lecture: Computer vision tasks, Convolution and Pooling layers, ConvNet architectures, Data Augmentation\n  - [ ] Seminar: Training your first ConvNet\n\n(to be updated)\n\n# Contributors \u0026 course staff\nCourse materials by\n- [Victor Lempitsky](http://sites.skoltech.ru/compvision/members/vilem/) - main track lecture videos (1-11)\n- [Victor Yurchenko](https://github.com/simflin) - intro notebooks, admin stuff\n- [Vadim Lebedev](https://github.com/vadim-v-lebedev) - notebooks, admin stuff\n- [Dmitry Ulyanov](https://github.com/DmitryUlyanov) - notebooks on generative models \u0026 autoencoders\n- [Fedor Ratnikov](https://github.com/justheuristic/) - pytorch \u0026 nlp notebooks, one bonus lecture\n- [Oleg Vasilev](https://github.com/Omrigan) - notebooks, technical issue resolution\n- [Arseniy Ashukha](https://github.com/ars-ashuha) - image captioning materials\n- [Mikhail Khalman](https://github.com/mihaha) - variational autoencoder materials\n- many bugs were fixed and course materials were improved by students and volunteers, see [PR authorship](https://github.com/yandexdataschool/practical_dl/pulls?q=is%3Apr+is%3Aclosed)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyandexdataschool%2Fpractical_dl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyandexdataschool%2Fpractical_dl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyandexdataschool%2Fpractical_dl/lists"}