aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A game theoretic approach to explain the output of any machine learning model.

Data and code behind the articles and graphics at FiveThirtyEight

Kolmogorov Arnold Networks

Learn ML engineering for free in 4 months!

Collection of useful data science topics along with articles, videos, and code

LLM Zoomcamp - a free online course about building a Q&A system

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Open-source AI cookbook

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

The book every data scientist needs on their desk.

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Repository for the book Grokking Machine Learning, by Manning Editors

Python-centered read-along of Forecasting: Principles and Practice

Collection of notebooks for time series analysis

Conformalized Quantile Regression

Python package for dataset imports from UCI ML Repository

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

A python package for time series forecasting with scikit-learn estimators.

Practical Guide to Applied Conformal Prediction, published by Packt

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Fast implementation of Venn-ABERS probabilistic predictors

ML Zoomcamp fall 2021 homework and stuff

Demo Computer Vision Project

Extending Conformal Prediction to LLMs

This repository contains a better implementation of Kolmogorov-Arnold networks