{"id":20603697,"url":"https://github.com/patrickm663/feedforward-nn","last_synced_at":"2026-03-19T16:40:18.884Z","repository":{"id":153371752,"uuid":"613545289","full_name":"patrickm663/feedforward-nn","owner":"patrickm663","description":"A simple implementation of a feed-forward neural network in D.","archived":false,"fork":false,"pushed_at":"2023-04-15T20:40:58.000Z","size":581,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-17T02:12:21.066Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"D","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/patrickm663.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":"2023-03-13T19:30:05.000Z","updated_at":"2023-12-11T00:10:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"a5d93182-f3b7-4a73-b49b-5ef6b9a7f182","html_url":"https://github.com/patrickm663/feedforward-nn","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/patrickm663%2Ffeedforward-nn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patrickm663%2Ffeedforward-nn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patrickm663%2Ffeedforward-nn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patrickm663%2Ffeedforward-nn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/patrickm663","download_url":"https://codeload.github.com/patrickm663/feedforward-nn/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242249555,"owners_count":20096880,"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":[],"created_at":"2024-11-16T09:18:11.647Z","updated_at":"2026-03-07T18:02:53.417Z","avatar_url":"https://github.com/patrickm663.png","language":"D","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n# Feedforward Neural Network in D\nA simple implementation of a feed-forward neural network in D.\n\nThis is currently a single layer NN for binary classification using a sigmoid layer and simple delta-based training method, whereby the weights update per entry in the dataset, which are looped over for a number of epochs.\n\n## How to use\nThe executable can run directly, or, alternatively, it can be re-built with DUB and run as follows:\n```\ngit clone git@github.com:patrickm663/feedforward-nn.git\ncd feedforward-nn/\ndub build\ndub run\n```\n\n## TODO\n- Implement logic to split the data into training and testing based on a user's parameter\n- Test on more datasets (importing the \"wine.csv\" dataset to have something to test was one of the biggest hurdles)\n- Construct a `neuralnetwork` class that implements the functions as methods rather, in order to create an 'API'\n- Test whether it can be called from other languages\n- Add test cases\n- Add additional layers, more activation functions, etc.\n\n## License\nMIT licensed.\n\n## Contributions\nAll contributions are welcome. I am very new to D, but really enjoying the language thus far!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatrickm663%2Ffeedforward-nn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatrickm663%2Ffeedforward-nn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatrickm663%2Ffeedforward-nn/lists"}