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.

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

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

This repository contains implementations and illustrative code to accompany DeepMind publications

PyTorch code and models for the DINOv2 self-supervised learning method.

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

Public facing notes page

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automatic extraction of relevant features from time series:

AI Observability & Evaluation

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Image restoration with neural networks but without learning.

Visualizations for machine learning datasets

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Google Brain AutoML

An adversarial example library for constructing attacks, building defenses, and benchmarking both

The Udacity open source self-driving car project

Portfolio and risk analytics in Python

A scikit-learn compatible neural network library that wraps PyTorch

From the basics to slightly more interesting applications of Tensorflow

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Efficient Image Captioning code in Torch, runs on GPU