{"id":22962409,"url":"https://github.com/suign/neurons.me","last_synced_at":"2025-08-13T06:34:00.891Z","repository":{"id":176173183,"uuid":"493082198","full_name":"suiGn/neurons.me","owner":"suiGn","description":"A dynamic modulator system for neural networks.","archived":false,"fork":false,"pushed_at":"2024-06-04T05:07:10.000Z","size":171110,"stargazers_count":6,"open_issues_count":0,"forks_count":4,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-12-11T20:43:51.485Z","etag":null,"topics":["cryptography","deeplearning","javascript","utils"],"latest_commit_sha":null,"homepage":"https://suign.github.io/neurons.me/","language":"JavaScript","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/suiGn.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":"2022-05-17T03:33:15.000Z","updated_at":"2024-06-04T17:52:27.000Z","dependencies_parsed_at":"2023-12-06T23:31:01.862Z","dependency_job_id":"9751cca6-4c5b-4723-bc90-cbf326cf9347","html_url":"https://github.com/suiGn/neurons.me","commit_stats":null,"previous_names":["suign/neurons.me"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suiGn%2Fneurons.me","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suiGn%2Fneurons.me/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suiGn%2Fneurons.me/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suiGn%2Fneurons.me/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/suiGn","download_url":"https://codeload.github.com/suiGn/neurons.me/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":229743812,"owners_count":18117460,"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":["cryptography","deeplearning","javascript","utils"],"created_at":"2024-12-14T19:16:43.263Z","updated_at":"2024-12-14T19:16:43.871Z","avatar_url":"https://github.com/suiGn.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cimg src=\"https://suign.github.io/neurons.me/neurons_logo.png\" alt=\"neurons.me logo\" width=\"123\" height=\"123\" style=\"width123px; height:123px;\"\u003e\n\n## NEURONS.ME\n\n-----------\n\n### The Main Steps for Building a Neural Network are:\n1. Define de model structure (such as number of input features).\n2. Initialize the model´s parameters.\n3. Loop: \n    * Calculate current loss (foward propagation).\n    * Calculate current gradient (backward propagation).\n    * Update parameters (gradient descent).\n\n----------\n\n**Welcome to neurons.me,** a modular framework designed for the creation and management of **neural networks**. Offering developers the ability to define and orchestrate artificial neurons, neural networks, and layers with extensive customization options in JS.\n\n## Installation\nIntegrate neurons.me into your project with ease:\n\n```bash\nnpm i neurons.me\n```\n\n# Integrating With All.This\n**neurons.me** is built to work in tandem with [all.this](https://neurons.me/all-this), leveraging its data structuring benefits to provide a foundation for **neural network** training and inference.\n**Modularity and Independence**: By integrating **neurons.me** with these modules, developers can harness a unified approach to data processing, **neural network construction**, and machine learning.\n**Please refer** to https://neurons.me to learn more about the whole ecosystem.\n\n-------\n\n## Looking Forward\n\nAs we continue to develop **neurons.me,** our goal is to establish a transparent, adaptive, and impactful framework that not only stands on its own in the realm of neural network development but also complements and extends the functionalities within the **all.this** library. Stay connected for future updates and enhancements.\n\nEngage with us, contribute, or raise issues as we collectively shape **neurons.me** to be an integral part of the **neural network and data processing communities** within the **[all.this](https://www.neurons.me/all-this)** ecosystem.\n\n----------\n\n# About All.This\n\n## Modular Data Structures:\n**[this.me](https://suign.github.io/this.me)  - [this.audio](https://suign.github.io/this.audio) - [this.text](https://suign.github.io/this.text) - [this.wallet](https://suign.github.io/this.wallet) - [this.img](https://suign.github.io/this.img) - [this.pixel](https://suign.github.io/Pixels) - [be.this](https://suign.github.io/be.this) - [this.DOM](https://suign.github.io/this.DOM) - [this.env](https://suign.github.io/this.env/) - [this.GUI](https://suign.github.io/this.GUI) - [this.be](https://suign.github.io/this.be) - [this.video](https://suign.github.io/this.video) - [this.atom](https://suign.github.io/this.atom) - [this.dictionaries](https://suign.github.io/this.dictionaries/)**\n\n**Each module** in **[all.this](https://neurons.me/all-this)** represents a specific **datastructure**. These classes encapsulate the functionalities and **data specific to their domain.**\n\n## **Utils**\n**[all.this](https://neurons.me/all-this)** not only aggregates these modules but also provides utilities to facilitate the integration, management, and enhancement of these data structures. **For example:**\n\n*The integration with [cleaker](https://suign.github.io/cleaker/) ensures each module instance has a **unique cryptographic identity**, enhancing security and data integrity.*\n\n### Neurons.me Ecosystem Glossary:\nvisit: [Neurons.me Glossary](https://suign.github.io/neurons.me/Glossary) \n\n## License \u0026 Policies\n- **License**: MIT License (see LICENSE for details).\n- **Privacy Policy**: Respects user privacy; no collection/storage of personal data.\n- **Terms of Usage**: Use responsibly. No guarantees/warranties provided. [Terms](https://www.neurons.me/terms-of-use) | [Privacy](https://www.neurons.me/privacy-policy)\n  **Learn more** at https://neurons.me\n  **Author:** SuiGn\n  [By neurons.me](https://neurons.me)\n\n  \u003cimg src=\"https://suign.github.io/neurons.me/neurons_logo.png\" alt=\"neurons.me logo\" width=\"123\" height=\"123\" style=\"width123px; height:123px;\"\u003e\n\n**Happy Coding!**\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuign%2Fneurons.me","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuign%2Fneurons.me","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuign%2Fneurons.me/lists"}