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Starred repositories
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
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.
β uplift modeling in scikit-learn style in python π
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 goβ¦
Open Source Data Science Resources.
moDel Agnostic Language for Exploration and eXplanation
An index of algorithms for learning causality with data
π 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.
π 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 β¦
PyMC educational resources
Statistical Rethinking course winter 2022
Bayesian Data Analysis course at Aalto
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
π An awesome Data Science repository to learn and apply for real world problems.
Streamlit β A faster way to build and share data apps.