{"id":50549879,"url":"https://github.com/mwesterham/machine-learning-sandbox","last_synced_at":"2026-06-04T02:30:27.426Z","repository":{"id":55528209,"uuid":"522380571","full_name":"mwesterham/machine-learning-sandbox","owner":"mwesterham","description":"Demonstration of TensorFlow model implementations and ML concepts in the form of different experiments.","archived":false,"fork":false,"pushed_at":"2022-09-11T19:52:34.000Z","size":646,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2023-08-04T03:06:49.274Z","etag":null,"topics":["machine-learning","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","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/mwesterham.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}},"created_at":"2022-08-08T02:31:41.000Z","updated_at":"2023-08-04T03:06:49.275Z","dependencies_parsed_at":"2022-08-15T02:31:16.020Z","dependency_job_id":null,"html_url":"https://github.com/mwesterham/machine-learning-sandbox","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"purl":"pkg:github/mwesterham/machine-learning-sandbox","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwesterham%2Fmachine-learning-sandbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwesterham%2Fmachine-learning-sandbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwesterham%2Fmachine-learning-sandbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwesterham%2Fmachine-learning-sandbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mwesterham","download_url":"https://codeload.github.com/mwesterham/machine-learning-sandbox/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwesterham%2Fmachine-learning-sandbox/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33887124,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-04T02:00:06.755Z","response_time":64,"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":["machine-learning","tensorflow"],"created_at":"2026-06-04T02:30:26.858Z","updated_at":"2026-06-04T02:30:27.417Z","avatar_url":"https://github.com/mwesterham.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Sandbox\n\nThis repository serves as demonstration of TensorFlow model implementations and ML concepts in the form of different\nexperiments. A series of base classes are additionally provided in order to facilitate each experiment and generify the\ntraining process. An explanation of each experiment is provided below. TensorFlow 2.8.2 is used in each experiment.\n\n- [**Image Classifier Experiments**](image_classifier_experiment/README.md)\n\nThe image classifier experiments are based off of Tensorflow's documentation\nfound [here](https://www.tensorflow.org/tutorials/keras/classification). In this experiment we implement a model that\nclassifies images into different classes for two datasets: Fashion MNIST and MNIST. Once these models were trained, they\nwere evaluated with the test dataset provided by Tensorflow and a small custom dataset I compiled myself for each. The\nresults from these two datasets are compared and analyzed.\n\n- [**Text Binary Classifier Experiment**](text_binary_classifier_experiment/README.md)\n\nThe text classifier experiment is based off of Tensorflow's documentation\nfound [here](https://www.tensorflow.org/tutorials/keras/text_classification). The aim of this experiment is\nto train a binary classifier that performs sentiment analysis on the Large Movie Review Dataset (aclImdb).\nAdditionally, I provide model checkpointing and workflow abstraction to demonstrate these common ML processes.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmwesterham%2Fmachine-learning-sandbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmwesterham%2Fmachine-learning-sandbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmwesterham%2Fmachine-learning-sandbox/lists"}