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 repository contains implementations and illustrative code to accompany DeepMind publications

Inpaint anything using Segment Anything and inpainting models.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Massively parallel rigidbody physics simulation on accelerator hardware.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…

NMA deep learning course

TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.

Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs

Python: using OpenStudio Bindings, EnergyPlus API, and matplotlib