{"id":33234660,"url":"https://github.com/Neuraxio/Awesome-Neuraxle","last_synced_at":"2025-11-21T12:02:19.514Z","repository":{"id":117502218,"uuid":"340747702","full_name":"Neuraxio/Awesome-Neuraxle","owner":"Neuraxio","description":"A curated list for resources on Neuraxle.","archived":false,"fork":false,"pushed_at":"2021-07-12T21:28:23.000Z","size":20,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-03T05:02:04.929Z","etag":null,"topics":["awesome","awesome-list","deep-learning","machine-learning","neuraxle"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Neuraxio.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}},"created_at":"2021-02-20T20:32:25.000Z","updated_at":"2025-02-10T12:17:58.000Z","dependencies_parsed_at":"2024-01-11T19:17:28.660Z","dependency_job_id":null,"html_url":"https://github.com/Neuraxio/Awesome-Neuraxle","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Neuraxio/Awesome-Neuraxle","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neuraxio%2FAwesome-Neuraxle","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neuraxio%2FAwesome-Neuraxle/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neuraxio%2FAwesome-Neuraxle/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neuraxio%2FAwesome-Neuraxle/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Neuraxio","download_url":"https://codeload.github.com/Neuraxio/Awesome-Neuraxle/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neuraxio%2FAwesome-Neuraxle/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":285611836,"owners_count":27201484,"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","status":"online","status_checked_at":"2025-11-21T02:00:06.175Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["awesome","awesome-list","deep-learning","machine-learning","neuraxle"],"created_at":"2025-11-16T18:00:30.410Z","updated_at":"2025-11-21T12:02:19.508Z","avatar_url":"https://github.com/Neuraxio.png","language":null,"funding_links":[],"categories":["Misc. Hubs \u0026 Links"],"sub_categories":["Other"],"readme":"# [Awesome Neuraxle](https://github.com/Neuraxio/Awesome-Neuraxle) [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\nA curated list of Neuraxle resources. \n\nYou can contribute to [this list](https://github.com/Neuraxio/Awesome-Neuraxle) by following the instructions [here](https://github.com/sindresorhus/awesome/blob/main/contributing.md#adding-something-to-an-awesome-list). By contributing, you accept to make your contribution available under the public domain as per this list's specific CC0 1.0 Universal [License](#license). \n\n\n## Contents\n\n- [Examples \u0026 Articles](#examples-articles)\n- [Courses](#courses)\n- [Videos](#videos)\n- [Projects](#projects)\n- [Community](#community)\n- [License](#license)\n\n\n\u003ca name=\"examples-articles\" /\u003e\n\n## Examples \u0026 Articles\n\n- [Neuraxle's official introduction on its documentation website](https://www.neuraxle.org/stable/intro.html) - Official intro to Neuraxle.\n- [Neuraxle official code examples](https://www.neuraxle.org/stable/examples/index.html) - Official Neuraxle code examples.\n- [Coding Kata: Clean Machine Learning From Dirty Code](https://github.com/Neuraxio/Kata-Clean-Machine-Learning-From-Dirty-Code) - A coding workshop on refactoring your machine learning code into something that respects Clean Code principles.\n- [Seq2Seq example using Neuraxle](https://github.com/guillaume-chevalier/seq2seq-signal-prediction) - A tutorial on creating a seq2seq RNN, using Neuraxle.\n- [What's Wrong with Scikit-Learn Pipelines?](https://www.neuraxio.com/blogs/news/whats-wrong-with-scikit-learn-pipelines) - How to use sklearn for Deep Learning, AutoML, and complex production-level pipelines?\n- [A Rant on Kaggle Competition Code (and Most Research Code)](https://www.neuraxio.com/blogs/news/a-rant-on-kaggle-competition-code-and-most-research-code) - How to not make clean machine learning pipelines\n- [How to Code Neat Machine Learning Pipelines](https://www.neuraxio.com/blogs/news/how-to-code-neat-machine-learning-pipelines) - How to make clean machine learning pipelines\n- [SOLID Machine Learning](https://www.umaneo.com/post/the-solid-principles-applied-to-machine-learning) - The SOLID principles applied to Machine Learning.\n\n\n\u003ca name=\"courses\" /\u003e\n\n## Courses \u0026 Training\n\n- [Deep Learning and Recurrent Neural Networks Training](https://www.neuraxio.com/products/deep-learning-and-recurrent-neural-networks) - An in-depth technical and practical training on how to do deep learning and recurrent neural networks, using TensorFlow and Neuraxle. \n- [Clean Machine Learning Training](https://www.neuraxio.com/products/clean-machine-learning-training) - An in-depth technical and practical training on how to do clean machine learning. \n\n\n\u003ca name=\"Videos\" /\u003e\n\n## Videos\n\n- [Machine Learning and Clean Code](https://www.youtube.com/watch?v=OFe223rUBY8) - A talk on creating clean machine learning code, using Neuraxle for demonstration.\n- [(Language: French) Neuraxle - An Open-Source Framework for AutoML and Time Series Processing](https://www.youtube.com/watch?v=WXWDDEkuSaE) - An introductory talk on Neuraxle, in French. \n- [Growing Neat Software Architecture from Jupyter Notebooks](https://www.youtube.com/watch?v=K4QN27IKr0g) - A talk on how to create clean software architecture in machine learning projects such as using Neuraxle.\n- [The Business Process of Machine Learning](https://www.youtube.com/watch?v=G5gZ-SX80dY) - A non-technical talk on conveying machine learning projects.\n- [AutoML for Time Series Processing](https://www.youtube.com/watch?v=Ct2Lg0lOLoE) - Perform Automated Machine Learning (AutoML) on complex data sources such as 3D data.\n\n\u003ca name=\"projects\" /\u003e\n\n## Projects\n\n- [Scikit-Learn](https://scikit-learn.org/stable/) - A simple library with which Neuraxle is compatible by default. \n- [Neuraxle-TensorFlow](https://github.com/Neuraxio/Neuraxle-TensorFlow) - A library that extends Neuraxle, for using TensorFlow within Neuraxle.\n- [Empty Python Project Base](https://github.com/Neuraxio/New-Empty-Python-Project-Base) - Empty python project starter kit for your next Neuraxle project. \n- [Sales forecasting](https://www.neuraxio.com/pages/sales-forecasting-product-to-trigger-marketing-actions) - A commercial transaction forecasting project using Neuraxle.\n- [TensorFlow 2 Multilayer Perceptron](https://github.com/alexbrillant/Multi-Layer-Perceptron) - A MLP using Neuraxle-TensorFlow.\n- [LSTM example using Neuraxle](https://github.com/Neuraxio/LSTM-Human-Activity-Recognition/tree/har-code-ppt) - An LSTM RNN using Neuraxle-TensorFlow.\n- [Neuraxle Seq2Seq Attention](https://github.com/alexbrillant/seq2seq-attention) - An attention mechanism using Neuraxle-TensorFlow.\n\n\n\u003ca name=\"community\" /\u003e\n\n## Community\n\n- [Neuraxio's Slack Workspace for Neuraxle](https://join.slack.com/t/neuraxio/shared_invite/zt-8lyw42c5-4PuWjTT8dQqeFK3at1s_dQ) - A slack workspace centered around Neuraxle by Neuraxio.\n- [Neuraxle tag on StackOverflow](https://stackoverflow.com/questions/tagged/neuraxle) - Neuraxle questions on StackOverflow.\n- [Neuraxle issues](https://github.com/Neuraxio/Neuraxle/issues) - Neuraxle issue on GitHub.\n\n\n\u003ca name=\"license\" /\u003e\n\n## License\n\n[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)\n\nTo the extent possible under law, [Neuraxio Inc.](https://github.com/Neuraxio) and all contributors to this list have waived all copyright and related or neighboring rights to this awesome list for Neuraxle resources. [Read the full license here](https://github.com/Neuraxio/Awesome-Neuraxle/blob/main/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNeuraxio%2FAwesome-Neuraxle","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FNeuraxio%2FAwesome-Neuraxle","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNeuraxio%2FAwesome-Neuraxle/lists"}