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

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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

Free Data Engineering course!

This is a repo with links to everything you'd ever want to learn about data engineering

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Examples and guides for using the Gemini API

Learn ML engineering for free in 4 months!

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Python training for business analysts and traders

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

Code repository for O'Reilly book

Exercise notebooks for Machine Learning modules on Microsoft Learn

functorch is JAX-like composable function transforms for PyTorch.

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

High quality resources & applications for LLMs, multi-modal models and VectorDBs

Tutorials for the Hopsworks Platform

Nvidia contributed CUDA tutorial for Numba

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024