https://github.com/Neuraxio/Awesome-Neuraxle
A curated list for resources on Neuraxle.
https://github.com/Neuraxio/Awesome-Neuraxle
List: Awesome-Neuraxle
awesome awesome-list deep-learning machine-learning neuraxle
Last synced: about 2 months ago
JSON representation
A curated list for resources on Neuraxle.
- Host: GitHub
- URL: https://github.com/Neuraxio/Awesome-Neuraxle
- Owner: Neuraxio
- License: cc0-1.0
- Created: 2021-02-20T20:32:25.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-07-12T21:28:23.000Z (over 4 years ago)
- Last Synced: 2025-11-03T05:02:04.929Z (2 months ago)
- Topics: awesome, awesome-list, deep-learning, machine-learning, neuraxle
- Homepage:
- Size: 19.5 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-deep-learning-resources - Awesome Neuraxle - An awesome list for Neuraxle, a ML Framework for coding clean production-level ML pipelines. (Misc. Hubs & Links / Other)
README
# [Awesome Neuraxle](https://github.com/Neuraxio/Awesome-Neuraxle) [](https://github.com/sindresorhus/awesome)
A curated list of Neuraxle resources.
You 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).
## Contents
- [Examples & Articles](#examples-articles)
- [Courses](#courses)
- [Videos](#videos)
- [Projects](#projects)
- [Community](#community)
- [License](#license)
## Examples & Articles
- [Neuraxle's official introduction on its documentation website](https://www.neuraxle.org/stable/intro.html) - Official intro to Neuraxle.
- [Neuraxle official code examples](https://www.neuraxle.org/stable/examples/index.html) - Official Neuraxle code examples.
- [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.
- [Seq2Seq example using Neuraxle](https://github.com/guillaume-chevalier/seq2seq-signal-prediction) - A tutorial on creating a seq2seq RNN, using Neuraxle.
- [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?
- [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
- [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
- [SOLID Machine Learning](https://www.umaneo.com/post/the-solid-principles-applied-to-machine-learning) - The SOLID principles applied to Machine Learning.
## Courses & Training
- [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.
- [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.
## Videos
- [Machine Learning and Clean Code](https://www.youtube.com/watch?v=OFe223rUBY8) - A talk on creating clean machine learning code, using Neuraxle for demonstration.
- [(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.
- [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.
- [The Business Process of Machine Learning](https://www.youtube.com/watch?v=G5gZ-SX80dY) - A non-technical talk on conveying machine learning projects.
- [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.
## Projects
- [Scikit-Learn](https://scikit-learn.org/stable/) - A simple library with which Neuraxle is compatible by default.
- [Neuraxle-TensorFlow](https://github.com/Neuraxio/Neuraxle-TensorFlow) - A library that extends Neuraxle, for using TensorFlow within Neuraxle.
- [Empty Python Project Base](https://github.com/Neuraxio/New-Empty-Python-Project-Base) - Empty python project starter kit for your next Neuraxle project.
- [Sales forecasting](https://www.neuraxio.com/pages/sales-forecasting-product-to-trigger-marketing-actions) - A commercial transaction forecasting project using Neuraxle.
- [TensorFlow 2 Multilayer Perceptron](https://github.com/alexbrillant/Multi-Layer-Perceptron) - A MLP using Neuraxle-TensorFlow.
- [LSTM example using Neuraxle](https://github.com/Neuraxio/LSTM-Human-Activity-Recognition/tree/har-code-ppt) - An LSTM RNN using Neuraxle-TensorFlow.
- [Neuraxle Seq2Seq Attention](https://github.com/alexbrillant/seq2seq-attention) - An attention mechanism using Neuraxle-TensorFlow.
## Community
- [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.
- [Neuraxle tag on StackOverflow](https://stackoverflow.com/questions/tagged/neuraxle) - Neuraxle questions on StackOverflow.
- [Neuraxle issues](https://github.com/Neuraxio/Neuraxle/issues) - Neuraxle issue on GitHub.
## License
[](https://creativecommons.org/publicdomain/zero/1.0/)
To 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).