{"id":15463399,"url":"https://github.com/michellebonat/tf_text_classify","last_synced_at":"2025-04-22T10:44:33.078Z","repository":{"id":72143623,"uuid":"141531348","full_name":"michellebonat/tf_text_classify","owner":"michellebonat","description":"The classic movies redux with machine learning using TensorFlow and Keras.","archived":false,"fork":false,"pushed_at":"2019-02-12T20:06:45.000Z","size":17,"stargazers_count":11,"open_issues_count":0,"forks_count":7,"subscribers_count":8,"default_branch":"master","last_synced_at":"2025-04-22T10:44:18.576Z","etag":null,"topics":["keras","machine-learning","numpy","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","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/michellebonat.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2018-07-19T06:02:05.000Z","updated_at":"2019-02-12T20:07:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"4eba6eb1-5a24-4c9b-a9f8-20bb2e393376","html_url":"https://github.com/michellebonat/tf_text_classify","commit_stats":{"total_commits":29,"total_committers":1,"mean_commits":29.0,"dds":0.0,"last_synced_commit":"b5bf8e762f2775ea3d0061d89d13f97b9562ee2e"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michellebonat%2Ftf_text_classify","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michellebonat%2Ftf_text_classify/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michellebonat%2Ftf_text_classify/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michellebonat%2Ftf_text_classify/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/michellebonat","download_url":"https://codeload.github.com/michellebonat/tf_text_classify/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250222467,"owners_count":21394871,"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":["keras","machine-learning","numpy","python","tensorflow"],"created_at":"2024-10-02T00:20:50.609Z","updated_at":"2025-04-22T10:44:33.016Z","avatar_url":"https://github.com/michellebonat.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# tf_text_classify\nThe classic exploration of movie reviews data with machine learning using TensorFlow and Keras. This is very largely based on a tutorial in the Tensor Flow documentation. \n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. \n\n### Prerequisites\n\n- Python 2.7+ (or Python 3), this example uses 2.7.14 as I type this\n- TensorFlow\n- Keras\n- Numpy\n\nWhat I've done here and I recommend you do as well is to install Python via Anaconda. Anaconda comes with all of the packages mentioned above already installed. \n* [Anaconda installation guide](https://docs.continuum.io/anaconda/install)\n\nIf you already have Anaconda installed, make sure you have the most updated version. If you don't know which package you are on, or if you are just feeling lazy, type `$ conda update` and it will return what you should type into your command line to update Anaconda.\n\n### Getting started\n\n- Start a new file and name it (for example your_file_name.py)\n- Follow the instructions in the tf_text_classify.py file that appear to the right of the # symbols\n\n## Built With\n\n- Python\n- TensorFlow\n- Keras\n- Numpy\n\n## Contributing\n\nThis was built my Michelle Bonat. It's not currently open for contributions, but I would love to hear any comments and suggestions about how you have modified this code. \nContact me through the methods noted below. \n\n## Authors\n\n* **Michelle Bonat** - *Initial work* - Contact me through [michellebonat.com](http://michellebonat.com/) or on [GitHub](https://github.com/michellebonat) \n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichellebonat%2Ftf_text_classify","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmichellebonat%2Ftf_text_classify","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichellebonat%2Ftf_text_classify/lists"}