🦜🔗 Build context-aware reasoning applications

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

A latent text-to-image diffusion model

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.

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🔊 Text-Prompted Generative Audio Model

Google Research

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.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

The fastai book, published as Jupyter Notebooks

Learn OpenCV : C++ and Python Examples

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

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

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…

A simple screen parsing tool towards pure vision based GUI agent

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Kolmogorov Arnold Networks

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Natural Language Processing Tutorial for Deep Learning Researchers

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This repository contains implementations and illustrative code to accompany DeepMind publications

Neural Networks: Zero to Hero

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

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…