🦜🔗 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

Apache Superset is a Data Visualization and Data Exploration Platform

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

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.

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

Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

12 Weeks, 24 Lessons, AI for All!

10 Weeks, 20 Lessons, Data Science for All!

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

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.

The fastai deep learning library

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

A guidance language for controlling large language models.

A High-Quality Real Time Upscaler for Anime Video

This repository contains the Hugging Face Agents Course.

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…

Data and code behind the articles and graphics at FiveThirtyEight

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

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…

llama3 implementation one matrix multiplication at a time

Natural Language Processing Tutorial for Deep Learning Researchers

Companion webpage to the book "Mathematics For Machine Learning"

High-Resolution Image Synthesis with Latent Diffusion Models