{"id":15521382,"url":"https://github.com/julesbelveze/pytorch-tutorial-computer-vision","last_synced_at":"2026-05-14T13:32:32.558Z","repository":{"id":108669401,"uuid":"190729251","full_name":"JulesBelveze/pytorch-tutorial-computer-vision","owner":"JulesBelveze","description":"Deep Learning for computer vision using PyTorch","archived":false,"fork":false,"pushed_at":"2019-12-13T14:32:17.000Z","size":20839,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-02-03T02:30:33.292Z","etag":null,"topics":["cnn","computer-vision","cyclegan","deep-learning","detection","horse2zebra","hotdog","not-hotdog","nuclei-detection","pytorch","segmentation","sliding-window","tutorials"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/JulesBelveze.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":"2019-06-07T10:57:24.000Z","updated_at":"2021-12-14T17:55:14.000Z","dependencies_parsed_at":"2023-03-08T08:45:30.875Z","dependency_job_id":null,"html_url":"https://github.com/JulesBelveze/pytorch-tutorial-computer-vision","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/JulesBelveze%2Fpytorch-tutorial-computer-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JulesBelveze%2Fpytorch-tutorial-computer-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JulesBelveze%2Fpytorch-tutorial-computer-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JulesBelveze%2Fpytorch-tutorial-computer-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JulesBelveze","download_url":"https://codeload.github.com/JulesBelveze/pytorch-tutorial-computer-vision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246093180,"owners_count":20722402,"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":["cnn","computer-vision","cyclegan","deep-learning","detection","horse2zebra","hotdog","not-hotdog","nuclei-detection","pytorch","segmentation","sliding-window","tutorials"],"created_at":"2024-10-02T10:34:22.637Z","updated_at":"2026-05-14T13:32:27.516Z","avatar_url":"https://github.com/JulesBelveze.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep-learning-for-computer-vision\n\u003cp\u003e\nRepository containing various small projects implemented using PyTorch related to: \u003cb\u003eDeep Learning in Computer Vision\u003c/b\u003e.\nEach project contains a report that gathers the needed theoritical background and the different implementation's steps.\nCode is run on a \u003ci\u003eGeForce GTX TITAN X 12GB\u003c/i\u003e GPU.\nThe results are sometimes relatively bad but the aim here is to understand the main concepts.\n\u003cp\u003e\n\n## Content\n- Exercises to get familiar with Deep Learning and PyTorch, that can be found under `exercises/`\n- Hotdog / nothotdog classifier\n- Digits detection using sliding windows\n- Nuclei segmentation inspired from the \u003ca href=\"https://www.kaggle.com/c/data-science-bowl-2018/\" target=\"_blank\"\u003e2018 Data Science Bowl\u003c/a\u003e\n- CycleGAN that converts horses to zebras and vice versa\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjulesbelveze%2Fpytorch-tutorial-computer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjulesbelveze%2Fpytorch-tutorial-computer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjulesbelveze%2Fpytorch-tutorial-computer-vision/lists"}