Data science interview questions and answers

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Unifying 3D Mesh Generation with Language Models

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

All Algorithms implemented in Python

An opinionated list of awesome Python frameworks, libraries, software and resources.

A language and compiler for irregular tensor programs.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

A CLI toolset to generate table of contents for PDF files automatically.

Official Code for the L4DC 2023 conference paper and ICLR 2023 NeSy-GeMs workshop paper.

Hands-On Graph Neural Networks Using Python, published by Packt

Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).

Lorenz attraction app in Julia compiled to WebAssembly

A playbook for systematically maximizing the performance of deep learning models.

Python package for solving partial differential equations using finite differences.