Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- A Rant on Kaggle Competition Code (and Most Research Code) – Neuraxio https://www.neuraxio.com/en/blog/clean-code/2019/12/26/machine-learning-competition-code.html 14 comments
- What's Wrong with Scikit-Learn Pipelines? – Neuraxio https://www.neuraxio.com/en/blog/scikit-learn/2020/01/03/what-is-wrong-with-scikit-learn.html 3 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- Some Reasons Why Deep Learning has a Bright Future – Neuraxio https://www.neuraxio.com/en/blog/deep-learning/2019/12/29/why-deep-learning-has-a-bright-future.html 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- What is Automated Machine Learning (AutoML)? - A Metaphor – Neuraxio https://www.neuraxio.com/en/blog/automated-machine-learning-automl/2020/02/22/your-data-scientisti-is-a-mom-(seriously).html 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/favorite-deep-learning-papers 0 comments