{"id":17267182,"url":"https://github.com/agamiko/tiny-mnist-challenge","last_synced_at":"2025-07-30T05:32:46.528Z","repository":{"id":101298818,"uuid":"253086423","full_name":"AgaMiko/tiny-mnist-challenge","owner":"AgaMiko","description":"Tiny MNIST Challenge for university student's class with example codes in matlab and pytorch.","archived":false,"fork":false,"pushed_at":"2020-04-23T10:49:09.000Z","size":3094,"stargazers_count":0,"open_issues_count":0,"forks_count":5,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-07T10:48:40.579Z","etag":null,"topics":["challenge","convolutional-neural-network","example-code","pytorch","student-project","toolbox","tutorial"],"latest_commit_sha":null,"homepage":"https://www.kaggle.com/c/msi-tinymnist2020","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/AgaMiko.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}},"created_at":"2020-04-04T19:49:59.000Z","updated_at":"2023-04-19T03:08:08.000Z","dependencies_parsed_at":"2023-09-21T02:48:06.372Z","dependency_job_id":null,"html_url":"https://github.com/AgaMiko/tiny-mnist-challenge","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AgaMiko/tiny-mnist-challenge","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AgaMiko%2Ftiny-mnist-challenge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AgaMiko%2Ftiny-mnist-challenge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AgaMiko%2Ftiny-mnist-challenge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AgaMiko%2Ftiny-mnist-challenge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AgaMiko","download_url":"https://codeload.github.com/AgaMiko/tiny-mnist-challenge/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AgaMiko%2Ftiny-mnist-challenge/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267815187,"owners_count":24148356,"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","status":"online","status_checked_at":"2025-07-30T02:00:09.044Z","response_time":70,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["challenge","convolutional-neural-network","example-code","pytorch","student-project","toolbox","tutorial"],"created_at":"2024-10-15T08:09:48.093Z","updated_at":"2025-07-30T05:32:42.637Z","avatar_url":"https://github.com/AgaMiko.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tiny MNIST Challenge 2020\nTiny MNIST Challenge for Gdańsk University student's class.\n\nKaggle: https://www.kaggle.com/c/msi-tinymnist2020\n\n### Matlab examples - code and toolboxes instruction.\nBuilt-in data loaders and submission preparation.\n* **Simple neural network** - A framework for using matlab toolbox to design basic fully-connected network. [code](example_code/matlab_examples/simple_Network.m)\n\n* **Basic convolutional neural network** - Simple neural network with 2 convolutional layers, relu activation, maxpooling and fully-connected layer.[code](example_code/matlab_examples/simple_CNN.m)\n\n### Pytorch examples - ready to run in Colab\nBuilt-in data loaders, submission preparation and sending.\n\n* **Simple neural network** - This is a basic fully-connected network. Two fully-connected layers and relu activation.[code](example_code/pytoch_examples/simple_Network.ipynb)\n\n* **Basic convolutional neural network** - Simple neural network with 2 convolutional layers, relu activation, maxpooling and fully-connected layer. [code](example_code/pytorch_examples/simple_Network.ipynb)\n\n# Winners solutions\nThe winning codes can be found in the [notebooks section](notebooks). Number of the file indicates the postion of the solution in the rank.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagamiko%2Ftiny-mnist-challenge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagamiko%2Ftiny-mnist-challenge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagamiko%2Ftiny-mnist-challenge/lists"}