21 Lessons, Get Started Building with Generative AI

A latent text-to-image diffusion model

12 Lessons to Get Started Building AI Agents

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.

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

🔊 Text-Prompted Generative Audio Model

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

StableLM: Stability AI Language Models

Python toolkit for quantitative finance

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

CoreNet: A library for training deep neural networks

Official Code for Stable Cascade

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

Kandinsky 2 — multilingual text2image latent diffusion model

Model API for GALACTICA

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation

This repo dockerizes Stable Diffusion to ease the usage of the model with a gradio UI

Theseus is a Python library for cohort analysis