{"id":16162497,"url":"https://github.com/sunsided/mnist-matlab","last_synced_at":"2025-03-18T22:31:07.913Z","repository":{"id":141992939,"uuid":"65623588","full_name":"sunsided/mnist-matlab","owner":"sunsided","description":"MNIST Database of Handwritten Digits for MATLAB","archived":false,"fork":false,"pushed_at":"2016-08-13T16:02:54.000Z","size":2,"stargazers_count":20,"open_issues_count":0,"forks_count":7,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-28T12:32:40.437Z","etag":null,"topics":["database","dataset","handwritten-digits","machine-learning","matlab","mnist-dataset"],"latest_commit_sha":null,"homepage":"","language":"Matlab","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/sunsided.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":"2016-08-13T15:24:07.000Z","updated_at":"2024-12-18T12:45:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"e676c7e2-73e8-4b3b-bafa-f720a53d579c","html_url":"https://github.com/sunsided/mnist-matlab","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/sunsided%2Fmnist-matlab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fmnist-matlab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fmnist-matlab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fmnist-matlab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sunsided","download_url":"https://codeload.github.com/sunsided/mnist-matlab/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243950927,"owners_count":20373664,"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":["database","dataset","handwritten-digits","machine-learning","matlab","mnist-dataset"],"created_at":"2024-10-10T02:30:25.109Z","updated_at":"2025-03-18T22:31:07.659Z","avatar_url":"https://github.com/sunsided.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MNIST database of handwritten digits in MATLAB format\n\nThis repository provides a simple conversion function of the original MNIST dataset into MATLAB `.mat` format for easy usage. Be sure to also pull the submodules containing the [original](https://github.com/sunsided/mnist) MNIST dataset.\n\nIn order to convert the data, execute\n\n```matlab\nconvertMNIST\n```\n\nonce in this directory, which will create `mnist.mat`. After that, you can use\n\n```matlab\nload('mnist.mat')\n```\n\nwhich will load two variables into your workspace:\n\n- `training`, which contains the training set and\n- `test`, which contains the test set.\n\nBoth variables are represented as structures of the following fields:\n\n- `count`: The number `N` of images\n- `width`: The width `W` of each image\n- `height`: The height `H` of each image\n- `images`: A `H` by `W` by `N` array of all images\n- `labels`: An array of `N` values describing the image label\n\nThe `images` are encoded as doubles with a range of `0`..`1`, where `0` is background and `1` is foreground. The original MNIST dataset interprets these as `0` for white and `1` for black.\n\nThe `labels` field is encoded as categorical double values in the range of `0` through `9` inclusive.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunsided%2Fmnist-matlab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsunsided%2Fmnist-matlab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunsided%2Fmnist-matlab/lists"}