21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The fastai book, published as Jupyter Notebooks

Kolmogorov Arnold Networks

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

Synthetic data generators for tabular and time-series data

Python interactive dashboards for learning data science

Writing clean and optimized Python code

This repository contains implementations of several common deep neural network (DNN) architectures. The goal is to provide a comprehensive collection of well-documented and easy-to-use models for e…

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.