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

A latent text-to-image diffusion model

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

Google Research

Instruct-tune LLaMA on consumer hardware

Data and code behind the articles and graphics at FiveThirtyEight

High-Resolution Image Synthesis with Latent Diffusion Models

Code release for NeRF (Neural Radiance Fields)

Best Practices, code samples, and documentation for Computer Vision.

Image restoration with neural networks but without learning.

Overview and tutorial of the LangChain Library

A Bulletproof Way to Generate Structured JSON from Language Models

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

Optimized Stable Diffusion modified to run on lower GPU VRAM

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

Python libraries for Google Colaboratory

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Try out deep learning models online on Google Colab

Google Colaboratory Notebooks and Repositories (by @firmai)

Code for the Lovász-Softmax loss (CVPR 2018)

Unified Training of Universal Time Series Forecasting Transformers

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

A list of Machine Learning Art Colabs

Generative Representational Instruction Tuning