Lecture Notes for Linear Algebra Featuring Python.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

python implementation of Peng Ding's "First Course in Causal Inference"

Conformal Prediction for Time Series with Modern Hopfield Networks

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

Causal Inference and Discovery in Python by Packt Publishing

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

Uncertainty quantification through conformal prediction for machine learning models trained in MLJ.

Econometrics in Julia

Programming of Simulation, Analysis, and Learning Systems Course Materials

A Gentle Principled Introduction to Deep Reinforcement Learning

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Graduate Empirical Industrial Organization

Julia for High Performance Computing Course @ HLRS

Conformal prediction for node classification

Lightweight, useful implementation of conformal prediction on real data.

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

12 Weeks, 24 Lessons, AI for All!

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Julia code for computing monetary measures of risk, coherent or not

Causal Inference 1 Mixtape Session

Shift-Share Instrument Mixtape Track

Instrumental Variables Mixtape Track

Pen and paper exercises in machine learning