A library of extension and helper modules for Python's data analysis and machine learning libraries.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Software platform for clinical neuroimaging studies

Brain Imaging Analysis Kit

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Marp for VS Code: Create slide deck written in Marp Markdown on VS Code

Official git repository for Biopython (originally converted from CVS)

A Python package for modular causal inference analysis and model evaluations

Contains programming labs and lecture notes for the lecture "Neural Data Science"

A Python toolbox for gaining geometric insights into high-dimensional data

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

A Python library that helps data scientists to infer causation rather than observing correlation.

❗ uplift modeling in scikit-learn style in python 🐍

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Open Source Data Science Resources.

moDel Agnostic Language for Exploration and eXplanation

An index of algorithms for learning causality with data

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Uplift modeling and causal inference with machine learning algorithms

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Causal Graphical Models in Python

A curated list of project tutorials for project-based learning.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …

PyMC educational resources

Statistical Rethinking course winter 2022

Bayesian Data Analysis course at Aalto

Text and code for the second edition of Think Bayes, by Allen Downey.

📝 An awesome Data Science repository to learn and apply for real world problems.

Streamlit — A faster way to build and share data apps.