21 Lessons, Get Started Building with Generative AI

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

Examples and guides for using the OpenAI API

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

12 Lessons to Get Started Building AI Agents

The fastai deep learning library

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Neural Networks: Zero to Hero

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Instruct-tune LLaMA on consumer hardware

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

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…

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

StableLM: Stability AI Language Models

llama3 implementation one matrix multiplication at a time

This repository contains the source code for the paper First Order Motion Model for Image Animation

This repository contains implementations and illustrative code to accompany DeepMind publications

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.

TensorFlow Tutorials with YouTube Videos

Understanding Deep Learning - Simon J.D. Prince

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Taming Transformers for High-Resolution Image Synthesis

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Jupyter notebooks for the Natural Language Processing with Transformers book

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

All course materials for the Zero to Mastery Machine Learning and Data Science course.