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.

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

Google Research

The fastai book, published as Jupyter Notebooks

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

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.

StableLM: Stability AI Language Models

This repository contains implementations and illustrative code to accompany DeepMind publications

Solve puzzles. Learn CUDA.

This repository contains demos I made with the Transformers library by HuggingFace.

Official inference library for Mistral models

Efficient Image Captioning code in Torch, runs on GPU

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Solve puzzles. Improve your pytorch.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse…

Simple UI for LLM Model Finetuning

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Compute Sentence Embeddings Fast!

Practical Notebooks for the Deep Learning Indaba 2018

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (tweaks focused on training faces)

Teaching machines in comparably few shots.