🦜🔗 Build context-aware reasoning applications

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.

Python Data Science Handbook: full text in Jupyter Notebooks

🔊 Text-Prompted Generative Audio Model

Google Research

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

Data and code behind the articles and graphics at FiveThirtyEight

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…

StableLM: Stability AI Language Models

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

A multi-voice TTS system trained with an emphasis on quality

High-Resolution Image Synthesis with Latent Diffusion Models

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

PRML algorithms implemented in Python

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

QLoRA: Efficient Finetuning of Quantized LLMs

LAVIS - A One-stop Library for Language-Vision Intelligence

Code release for NeRF (Neural Radiance Fields)

Official inference library for Mistral models