{"id":17970471,"url":"https://github.com/balos1/pyann","last_synced_at":"2025-04-03T21:44:03.790Z","repository":{"id":87298275,"uuid":"113653720","full_name":"balos1/pyann","owner":"balos1","description":"ANN in Python for understanding how ANNs work.","archived":false,"fork":false,"pushed_at":"2017-12-09T08:15:43.000Z","size":17231,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-09T09:43:14.740Z","etag":null,"topics":["ann","artificial-neural-networks","perceptron-learning-algorithm","perceptron-learning-rule"],"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/balos1.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":"2017-12-09T08:15:16.000Z","updated_at":"2017-12-09T08:19:14.000Z","dependencies_parsed_at":"2023-03-06T05:15:31.262Z","dependency_job_id":null,"html_url":"https://github.com/balos1/pyann","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/balos1%2Fpyann","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/balos1%2Fpyann/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/balos1%2Fpyann/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/balos1%2Fpyann/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/balos1","download_url":"https://codeload.github.com/balos1/pyann/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247085993,"owners_count":20881158,"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":["ann","artificial-neural-networks","perceptron-learning-algorithm","perceptron-learning-rule"],"created_at":"2024-10-29T15:05:37.496Z","updated_at":"2025-04-03T21:44:03.770Z","avatar_url":"https://github.com/balos1.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Artificial Neural Networks in Python\n===\n\nThis was written as ANN learning experience project, and is by no means a super efficient ANN module (yet).\nIt currently can implement a perceptron model or a ANN with a single hidden layer.\n\n# For Best Results\n\nUse the weights file `weights_perceptron.npy` if using the perceptron network.\nUse the weights file `weights_multilayer.npy` if using the multilayer network.\n\n# Dependencies\nRequires the numpy module and python 3.6 or newer. This can be installed with pip:\n\n```\n\u003e pip install numpy\n```\n\nIf you don't have pip, here are details on installing numpy: https://scipy.org/install.html\n\n# How to Use\n```\nusage: pyann.py [-h] [--weights WEIGHTS]\n                   {train,test} {perceptron,multi-layer}\n\npositional arguments:\n  {train,test}          command to run\n  {perceptron,multi-layer}\n                        what type of ANN to run\n\noptional arguments:\n  -h, --help            show this help message and exit\n  --weights WEIGHTS     load a weights file instead of rng weights\n\n```\nnote: Some settings such as learning rate, train/test file names are located at the top of project2.py as constants.\n\n### Data File Format\n\nData files must be tab delimited and in the format `\u003clatitude\u003e \u003clongitude\u003e \u003cclass\u003e`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalos1%2Fpyann","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbalos1%2Fpyann","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalos1%2Fpyann/lists"}