L'organisation Google DeepMind a une présence significative sur GitHub avec une large gamme de dépôts publics. Parmi ses projets notables, on trouve des bibliothèques et outils en Python, comme alphafold et sonnet, ainsi que des projets en C++ comme mujoco. Ces dépôts sont essentiels pour la recherche en intelligence artificielle et l'apprentissage automatique.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
This repository contains implementations and illustrative code to accompany DeepMind publications
Open source code for AlphaFold 2.
TensorFlow-based neural network library
AlphaFold 3 inference pipeline.
StarCraft II Learning Environment
Aucune description fournie pour ce dépôt.
A customisable 3D platform for agent-based AI research
Gemma open-weight LLM library, from Google DeepMind
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Build Graph Nets in Tensorflow
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Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
A library of reinforcement learning components and agents
GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.
JAX-based neural network library
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Monte Carlo tree search in JAX
Optax is a gradient processing and optimization library for JAX.
An open-source library for sim and real robot demos on top of MuJoCo.
Tracking Any Point (TAP)
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
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This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
A library for generative social simulation
Real-time behaviour synthesis with MuJoCo, using Predictive Control
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
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A collection of formalized statements of conjectures in Lean.
RL research on Android devices.
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Dramatron uses large language models to generate coherent scripts and screenplays.
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A platform for managing machine learning experiments
Research code accompanying AlphaGenome
A suite of test scenarios for multi-agent reinforcement learning.
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
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Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
official code for "Large Language Models as Optimizers"
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
TORAX: Tokamak transport simulation in JAX
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
Open weights language model from Google DeepMind, based on Griffin.
On the Theoretical Limitations of Embedding-Based Retrieval
hanabi_learning_environment is a research platform for Hanabi experiments.
Grandmaster-Level Chess Without Search
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
Lua/Torch implementation of DQN (Nature, 2015)
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
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DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
PIX is an image processing library in JAX, for JAX.
Foundation models for 4D spatial and temporal vision tasks.
Official repository for "VideoPrism: A Foundational Visual Encoder for Video Understanding" (ICML 2024)
Benchmarking physical understanding in generative video models
Barkour Robot: Agile Quadruped Robots by Google DeepMind
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Library for sequence-to-sequence numeric prediction, applicable to any tokenizable input, and allows pretraining and fine-tuning over multiple tasks.
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
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AlphaProtein Novo
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A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.
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Jeo: Jax model training lib for Earth Observation
Loopy belief propagation for factor graphs on discrete variables in JAX
Official Jax Implementation of MD4 Masked Diffusion Models
GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.
Aucune description fournie pour ce dépôt.
Datasets to protect Earth's forests and biodiversity
AlphaGeometry2 symbolic engine (DDAR) with examples
A JAX Research Toolkit for Visualizing, Manipulating, and Understanding Gemma Models with Multi-modal Support based on Penzai.
Amplio: A Lightweight Agent Harness for Robust and Long-Horizon Runs
This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.
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Some Cryptids and Lean proofs
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Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
SynthID Bio is a family of methods developed by Google DeepMind for embedding highly detectable yet function-preserving watermarks directly into AI-generated biological sequences and structures.
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
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Lean formalizations of Putnam-like problems
"Making group conversations more accessible. Real-time speaker localization and directional guidance for mobile speech-to-text. ACM CHI 2025 Best Paper Award."
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simulation framework for real robot workflows
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Implementation of unPIC from "How to Spin an Object: First, Get the Shape Right", a CVPRW 2026 paper.
Google DeepMind développe plusieurs projets sur GitHub, notamment des bibliothèques pour l'intelligence artificielle et l'apprentissage automatique. Des dépôts tels que deepmind-research et alphafold fournissent des implémentations et des outils pour accompagner leurs publications scientifiques.
Google DeepMind utilise principalement Python pour ses projets, en particulier pour l'apprentissage automatique. D'autres langues incluent C++, Jupyter Notebook, Lean, C et Go, reflétant la diversité de leurs travaux en recherche et développement.
Oui, tous les dépôts de Google DeepMind sur GitHub sont publics. Cela permet à la communauté de recherche d'accéder à leur code et à leurs ressources, favorisant ainsi la collaboration et l'innovation dans le domaine de l'intelligence artificielle.
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