Aggregatus is a service that helps you to aggregate information of the same meaning but from the different websites and make it searchable, filterable and sortable as if it all was from the one website.
I’ve recently launched JavaScript Algorithms and Data Structures repository on GitHub with collection of classic algorithms and data-structures implemented in ES6 JavaScript with explanations and links to further readings and YouTube videos.
This is a collection of Python scripts that are split by topics and contain code examples with explanations, different use cases and links to further readings.
This project contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained. Each algorithm has interactive Jupyter Notebook demo that allows you to play with training data, algorithms configurations and immediately see the results, charts and predictions right in your browser.
This is a collection of interactive machine-learning experiments. Each experiment consists of 🏋️ Jupyter/Colab notebook (to see how a model was trained) and 🎨 demo page (to see a model in action right in your browser).
