{"id":15971703,"url":"https://github.com/douglasrizzo/machine_learning","last_synced_at":"2025-04-04T15:45:07.142Z","repository":{"id":152474391,"uuid":"103677515","full_name":"douglasrizzo/machine_learning","owner":"douglasrizzo","description":"Machine Learning algorithms in C++","archived":false,"fork":false,"pushed_at":"2020-04-03T18:25:59.000Z","size":5534,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-10T01:41:27.865Z","etag":null,"topics":["algorithm","kmeans","knn","linear-discriminant-analysis","machine-learning","neural-networks","principal-component-analysis","reinforcement-learning"],"latest_commit_sha":null,"homepage":null,"language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/douglasrizzo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2017-09-15T16:18:48.000Z","updated_at":"2020-05-04T19:19:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"d2eca941-9b4f-4dca-a3ab-c8fe4f165621","html_url":"https://github.com/douglasrizzo/machine_learning","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/douglasrizzo%2Fmachine_learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglasrizzo%2Fmachine_learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglasrizzo%2Fmachine_learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglasrizzo%2Fmachine_learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/douglasrizzo","download_url":"https://codeload.github.com/douglasrizzo/machine_learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247208066,"owners_count":20901568,"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":["algorithm","kmeans","knn","linear-discriminant-analysis","machine-learning","neural-networks","principal-component-analysis","reinforcement-learning"],"created_at":"2024-10-07T20:40:24.412Z","updated_at":"2025-04-04T15:45:07.110Z","avatar_url":"https://github.com/douglasrizzo.png","language":"C++","readme":"# Machine Learning algorithms in C++\n\nThis repository contains a collection of machine learning algorithms implemented in C++. As of now, the following algorithms are available:\n\n* k-nearest neighbors;\n* principal component analysis;\n* linear discriminant analysis;\n* multi-layer perceptron;\n* naïve Bayes classifier;\n* k-means;\n* least-squares.\n\nThere is also an implementation of a grid world, which can be solved by the following reinforcement learning algorithms:\n\n* policy iteration;\n* value iteration;\n* Monte Carlo Estimating Starts (ES);\n* Sarsa;\n* Q-learning.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasrizzo%2Fmachine_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdouglasrizzo%2Fmachine_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasrizzo%2Fmachine_learning/lists"}