This repository contains implementations and illustrative code to accompany DeepMind publications

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

QLoRA: Efficient Finetuning of Quantized LLMs

Code release for NeRF (Neural Radiance Fields)

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

pytorch version of spatial transformer networks

commaVQ is a dataset of compressed driving video

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

Code for Ditto: Building Digital Twins of Articulated Objects from Interaction

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

Unofficial Knet.jl implementation of "Learning to drive from a world on rails" (ICCV 21 Oral)