{"id":17352541,"url":"https://github.com/lucko515/pixelrnn","last_synced_at":"2025-07-23T00:32:44.646Z","repository":{"id":104742680,"uuid":"102763147","full_name":"lucko515/pixelrnn","owner":"lucko515","description":"Implementation of a, simple, recurrent neural network used for a image classification.","archived":false,"fork":false,"pushed_at":"2020-01-07T20:07:49.000Z","size":5,"stargazers_count":7,"open_issues_count":1,"forks_count":8,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-04-14T21:25:48.555Z","etag":null,"topics":["image-classification","mnist-classification","pixel-rnn","recurrent-neural-networks","tensorflow"],"latest_commit_sha":null,"homepage":null,"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/lucko515.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,"zenodo":null}},"created_at":"2017-09-07T16:54:44.000Z","updated_at":"2025-01-30T19:16:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"fa48ca82-4ee3-4f0a-aa8f-f708c057a4de","html_url":"https://github.com/lucko515/pixelrnn","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/lucko515/pixelrnn","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucko515%2Fpixelrnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucko515%2Fpixelrnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucko515%2Fpixelrnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucko515%2Fpixelrnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lucko515","download_url":"https://codeload.github.com/lucko515/pixelrnn/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucko515%2Fpixelrnn/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266596728,"owners_count":23953892,"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":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["image-classification","mnist-classification","pixel-rnn","recurrent-neural-networks","tensorflow"],"created_at":"2024-10-15T17:14:00.303Z","updated_at":"2025-07-23T00:32:44.590Z","avatar_url":"https://github.com/lucko515.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PixelRNN in the TensorFlow\n\nThis is simple implementation of RNN in tensorflow used for image classification task.\n\n## Dataset\n\nDataset used in this project is MNIST dataset. You can download it by using built-in TensorFlow functions. For more explanation open the .ipynb file.\n\n## Install\n\n### \u0026nbsp;\u0026nbsp;\u0026nbsp; Supported Python version\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;- Python version used in this project: 3.5+\n\n### \u0026nbsp;\u0026nbsp;\u0026nbsp; Libraries used\n\n\u003e *  [TensorFlow](http://tensorflow.org) 1.2.0\n\u003e *  [Numpy](http://www.numpy.org) 1.10.4\n\u003e *  [Matplotlib](https://matplotlib.org) 2.0.2\n\u003e *  [tqdm](https://pypi.python.org/pypi/tqdm) 4.15.0\n\n## Code\n\nThe whole code is inside **pixel_rnn.ipynb**. I haven't moved helper functions to a different file beucase of the testing purpose.\n\n\n## Run\n\nTo run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).\n\nAfter making sure you have that, you can run from a terminal or cmd next lines:\n\n`ipython notebook pixel_rnn.ipynb`\n\n\n## License\n\nMIT License\n\nCopyright (c) 2017 Luka Anicin\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucko515%2Fpixelrnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flucko515%2Fpixelrnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucko515%2Fpixelrnn/lists"}