Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

⚡ A collection of resources and tutorials to design a better database schema.

A resource for learning about Machine learning & Deep Learning

Coursera - Introduction to Deep Learning and Neural Networks with Keras (Offered By IBM)

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Replicating 3Blue1Brown's math animation engine in JavaScript (p5.js)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Machine learning techniques with Python.

A data visualization curriculum of interactive notebooks.

Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data.…

🎓 Path to a free self-taught education in Computer Science!

A Python wrapper around the Twitter API.

Python Data Science Handbook: full text in Jupyter Notebooks