{"id":18733970,"url":"https://github.com/juliaszymanska/artificial-intelligence","last_synced_at":"2025-04-12T18:32:01.216Z","repository":{"id":45814803,"uuid":"260969153","full_name":"JuliaSzymanska/Artificial-Intelligence","owner":"JuliaSzymanska","description":"Implementing Artificial Neural Network training process in Python","archived":false,"fork":false,"pushed_at":"2020-06-08T14:21:07.000Z","size":1927,"stargazers_count":15,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-26T13:21:23.299Z","etag":null,"topics":["ai","aproximation","backtracking","backtracking-algorithm","classification","color-quantization","k-means","kohonen","kohonen-network","kohonen-neural-network","mlp","neural-gas","neural-network","neuron","neurons","python","radial-basis-function","rbf","sigmoid-activation","sigmoid-function"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JuliaSzymanska.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}},"created_at":"2020-05-03T16:11:05.000Z","updated_at":"2025-01-16T21:21:31.000Z","dependencies_parsed_at":"2022-08-31T20:41:17.418Z","dependency_job_id":null,"html_url":"https://github.com/JuliaSzymanska/Artificial-Intelligence","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/JuliaSzymanska%2FArtificial-Intelligence","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaSzymanska%2FArtificial-Intelligence/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaSzymanska%2FArtificial-Intelligence/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaSzymanska%2FArtificial-Intelligence/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JuliaSzymanska","download_url":"https://codeload.github.com/JuliaSzymanska/Artificial-Intelligence/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248613599,"owners_count":21133546,"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":["ai","aproximation","backtracking","backtracking-algorithm","classification","color-quantization","k-means","kohonen","kohonen-network","kohonen-neural-network","mlp","neural-gas","neural-network","neuron","neurons","python","radial-basis-function","rbf","sigmoid-activation","sigmoid-function"],"created_at":"2024-11-07T15:11:56.379Z","updated_at":"2025-04-12T18:32:00.380Z","avatar_url":"https://github.com/JuliaSzymanska.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Artificial-Intelligence\n\n## [MLP](https://github.com/JuliaSzymanska/Artificial-Intelligence/tree/master/MLP)\nThis task consists of two parts, each of which presents one example of how to use the multilayer perceptron (MLP):\n* [Approximation](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/MLP/Approximation.py)\n* [Classification](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/MLP/Classification.py)\n\n## [SOM](https://github.com/JuliaSzymanska/Artificial-Intelligence/tree/master/SOM)\nThe network implementing the classic self-organizing map consists of a set of neurons. Finding the optimal distribution of neurons in space is done in two ways:\n* [Kohonen algorithm](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/SOM/KohonenMap.py)\n* [Neural gas algorithm](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/SOM/NeuralGas.py)\n\n## [Image compression](https://github.com/JuliaSzymanska/Artificial-Intelligence/tree/master/Image_compression)\nImage quantization process carried out using self-organizing kohonen networks. \n\n## [K-means](https://github.com/JuliaSzymanska/Artificial-Intelligence/tree/master/K-means)\nNeural networks learning improvement using the k-means clustering algorithm. \n\n## [RBF](https://github.com/JuliaSzymanska/Artificial-Intelligence/tree/master/RBF)\nThis task consists of two parts, each of which presents one example of how to use the neural network with radial base functions(RBF):\n* [Approximation](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/RBF/Approximation.py)\n* [Classification](https://github.com/JuliaSzymanska/Artificial-Intelligence/blob/master/RBF/Classification.py)\n\n## License\n[Apache License 2.0](https://github.com/JuliaSzymanska/Sudoku_Game/blob/master/LICENSE)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliaszymanska%2Fartificial-intelligence","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuliaszymanska%2Fartificial-intelligence","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliaszymanska%2Fartificial-intelligence/lists"}