Lists (20)
Stars
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
This is a repo with links to everything you'd ever want to learn about data engineering
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
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 ;)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Anthropic's educational courses
A collection of various deep learning architectures, models, and tips
Examples and guides for using the Gemini API
Companion webpage to the book "Mathematics For Machine Learning"
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Free MLOps course from DataTalks.Club
The "Python Machine Learning (1st edition)" book code repository and info resource
Learn ML engineering for free in 4 months! Register here 👇🏼
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Python training for business analysts and traders
YSDA course in Natural Language Processing
Understanding Deep Learning - Simon J.D. Prince
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
The "Python Machine Learning (2nd edition)" book code repository and info resource
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
"Probabilistic Machine Learning" - a book series by Kevin Murphy
The "Python Machine Learning (3rd edition)" book code repository
A computer science textbook
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science