{"id":13701702,"url":"https://github.com/yandexdataschool/deep_vision_and_graphics","last_synced_at":"2025-04-08T09:06:21.681Z","repository":{"id":38300962,"uuid":"404377098","full_name":"yandexdataschool/deep_vision_and_graphics","owner":"yandexdataschool","description":"Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.","archived":false,"fork":false,"pushed_at":"2024-12-11T09:16:09.000Z","size":60523,"stargazers_count":335,"open_issues_count":6,"forks_count":99,"subscribers_count":22,"default_branch":"fall24","last_synced_at":"2025-04-01T07:49:52.014Z","etag":null,"topics":["computer-vision","course","course-materials","deep-learning","pytorch"],"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","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":"2021-09-08T14:22:50.000Z","updated_at":"2025-03-27T16:40:14.000Z","dependencies_parsed_at":"2023-10-05T03:16:09.350Z","dependency_job_id":"18511f2a-70c3-42b6-86af-c58af3bb94b0","html_url":"https://github.com/yandexdataschool/deep_vision_and_graphics","commit_stats":{"total_commits":124,"total_committers":24,"mean_commits":5.166666666666667,"dds":0.5887096774193548,"last_synced_commit":"cce2a7a132a0f44cc3a19275b8460bc1183bcfe0"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2Fdeep_vision_and_graphics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2Fdeep_vision_and_graphics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2Fdeep_vision_and_graphics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yandexdataschool%2Fdeep_vision_and_graphics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yandexdataschool","download_url":"https://codeload.github.com/yandexdataschool/deep_vision_and_graphics/tar.gz/refs/heads/fall24","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247809963,"owners_count":20999816,"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":["computer-vision","course","course-materials","deep-learning","pytorch"],"created_at":"2024-08-02T20:01:55.132Z","updated_at":"2025-04-08T09:06:21.660Z","avatar_url":"https://github.com/yandexdataschool.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Deep Vision and Graphics\n\nThis repo supplements course \"Deep Vision and Graphics\" taught at YSDA @fall'24.\nThe course is the successor of [\"Deep Learning\"](https://github.com/yandexdataschool/Practical_DL/tree/spring21/) course taught at YSDA in 2015-2021. New course focuses more on applications of deep learning for computer vision.\n\nLecture and seminar materials for each week are in ./week* folders. Homeworks are in ./homework* folders.\n\n# General info\n* Telegram [chat room](https://t.me/+rGY82guWzqI1YTky) (russian).\n* YSDA deadlines \u0026 admin stuff can be found at the YSDA LMS (ysda students only).\n* Any technical issues, ideas, bugs in course materials, contribution ideas - add an [issue](https://github.com/yandexdataschool/deep_vision_and_graphics/issues)\n\n\n# Syllabus\n- __week01__ Intro, recap of Neural network basics, optimization, backprop, biological networks, images, linear filtering, convolutional networks, batchnorms, augmentations\n- __week02__ ConvNet architectures and how to find them, sparse convolutions in 3D, ConvNets for videos, transfer learning\n- __week03__ Non-convolutional architectures: transformers (some recap of their use in NLP), mixers, FFT convolutions\n- __week04__ Visualizing and understanding deep architectures, adversarial examples\n- __week05__ Dense prediction: semantic segmentation, superresolution/image synthesis, perceptual losses\n- __week06__ Object detection, instance/panoptic segmentation, 2D/3D human pose estimation\n- __week07__ Representation learning: face recognition, verification tasks, self-supervised learning, image captioning\n- __week08__ Latent models (GLO, AEs, VQ-VAE). Flow models, CLIP, DALL-E\n- __week09__ Generative adversarial networks\n- __week10__ Diffusion models, generative transformers\n- __week11__ Shape and motion estimation: spatial transformers, optical flow, stereo, monodepth, point cloud generation, implicit and semi-implicit shape representations\n- __week12__ New view synthesis: multi-plane images, neural radiance fields, mesh-based and point-based representations for NVS, neural renderers\n\n\n# Contributors \u0026 course staff\nCourse materials and teaching performed by\n- [Victor Yurchenko](https://github.com/simflin) - lectures, seminars, homeworks, admin stuff\n- [Fedor Ratnikov](https://github.com/justheuristic/) - lectures, seminars, homeworks, admin staff\n- [Viktoriia Checkalina](https://github.com/sayankotor/) - lectures, seminars, homeworks, admin staff\n- To be continued\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyandexdataschool%2Fdeep_vision_and_graphics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyandexdataschool%2Fdeep_vision_and_graphics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyandexdataschool%2Fdeep_vision_and_graphics/lists"}