{"id":18024110,"url":"https://github.com/thomasnield/kotlin-machine-learning-demos","last_synced_at":"2025-03-27T00:30:49.932Z","repository":{"id":148076033,"uuid":"187553325","full_name":"thomasnield/kotlin-machine-learning-demos","owner":"thomasnield","description":"Demonstration of several machine learning algorithms in Kotlin","archived":false,"fork":false,"pushed_at":"2019-09-22T03:03:48.000Z","size":6038,"stargazers_count":58,"open_issues_count":0,"forks_count":7,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-22T18:11:21.717Z","etag":null,"topics":["deep-learning","kotlin","logistic-regression","machine-learing-algorithms","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Kotlin","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/thomasnield.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":"2019-05-20T02:16:42.000Z","updated_at":"2024-06-27T09:36:02.000Z","dependencies_parsed_at":"2023-05-19T02:00:33.567Z","dependency_job_id":null,"html_url":"https://github.com/thomasnield/kotlin-machine-learning-demos","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/thomasnield%2Fkotlin-machine-learning-demos","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fkotlin-machine-learning-demos/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fkotlin-machine-learning-demos/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fkotlin-machine-learning-demos/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thomasnield","download_url":"https://codeload.github.com/thomasnield/kotlin-machine-learning-demos/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245760581,"owners_count":20667886,"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":["deep-learning","kotlin","logistic-regression","machine-learing-algorithms","machine-learning"],"created_at":"2024-10-30T07:11:56.276Z","updated_at":"2025-03-27T00:30:49.927Z","avatar_url":"https://github.com/thomasnield.png","language":"Kotlin","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Showcases of Different ML Algorithms\n\n### Using Background Color Classification\n\nThis is a Kotlin application that experiments with different machine learning algorithms to recommend a light/dark font against different background colors. \n\nSome algorithms are built completely from scratch but others are showcased using a library. \n\nThe current algorithms/library implementations: \n\n- Formulaic\n- Linear regression (w/ hill climbing)\n- Logistic regression (w/ hill climbing)\n- Decision Tree\n- Random Forest\n- Neural Network (w/ hill climbing)\n- Neural Network (w/ simulated annealing)\n- OjAlgo Neural Network \n- DL4J Neural Network \n\nPlanned to be added: \n\n- Linear regression (w/ gradient descent)\n- Logistic regression (w/ gradient descent)\n- Continuous Naive Bayes\n\n![](https://i.imgur.com/SPVFfQ6.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthomasnield%2Fkotlin-machine-learning-demos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthomasnield%2Fkotlin-machine-learning-demos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthomasnield%2Fkotlin-machine-learning-demos/lists"}