The Google DeepMind organization maintains a significant presence on GitHub, showcasing a wide range of public repositories. Their projects primarily utilize programming languages such as Python, C++, and Jupyter Notebook. Notable repositories include deepmind-research, alphafold, and mujoco, which contribute to advancements in AI research and applications.
Top languages
Public repositories
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
alphafold
Open source code for AlphaFold 2.
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
sonnet
TensorFlow-based neural network library
alphafold3
AlphaFold 3 inference pipeline.
pysc2
StarCraft II Learning Environment
lab
A customisable 3D platform for agent-based AI research
weathernext
No description provided for this repository.
gemma
Gemma open-weight LLM library, from Google DeepMind
graph_nets
Build Graph Nets in Tensorflow
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
alphageometry
No description provided for this repository.
dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
learning-to-learn
Learning to Learn in TensorFlow
acme
A library of reinforcement learning components and agents
mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
dm-haiku
JAX-based neural network library
mctx
Monte Carlo tree search in JAX
science-skills
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.
dnc
A TensorFlow implementation of the Differentiable Neural Computer.
optax
Optax is a gradient processing and optimization library for JAX.
mujoco_playground
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
alphagenome
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
mathematics_dataset
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
tapnet
Tracking Any Point (TAP)
open_x_embodiment
No description provided for this repository.
penzai
A JAX research toolkit for building, editing, and visualizing neural networks.
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
mujoco_mpc
Real-time behaviour synthesis with MuJoCo, using Predictive Control
concordia
A library for generative social simulation
educational
No description provided for this repository.
jraph
A Graph Neural Network Library in Jax
mujoco_warp
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
android_env
RL research on Android devices.
materials_discovery
No description provided for this repository.
formal-conjectures
A collection of formalized statements of conjectures in Lean.
funsearch
No description provided for this repository.
tree
tree is a library for working with nested data structures
chex
No description provided for this repository.
synthid-text
No description provided for this repository.
xmanager
A platform for managing machine learning experiments
meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
ferminet
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
alphagenome_research
Research code accompanying AlphaGenome
superhuman
No description provided for this repository.
opro
official code for "Large Language Models as Optimizers"
disco_rl
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
torax
TORAX: Tokamak transport simulation in JAX
recurrentgemma
Open weights language model from Google DeepMind, based on Griffin.
hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
ai-safety-gridworlds
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
gemini-robotics-sdk
No description provided for this repository.
ithaca
Restoring and attributing ancient texts using deep neural networks
alphastar
No description provided for this repository.
tips
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
tracr
No description provided for this repository.
simply
Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
treescope
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
dm_robotics
Libraries, tools and tasks created and used at DeepMind Robotics.
dm_env
A Python interface for reinforcement learning environments
videoprism
Official repository for "VideoPrism: A Foundational Visual Encoder for Video Understanding" (ICML 2024)
barkour_robot
Barkour Robot: Agile Quadruped Robots by Google DeepMind
kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
aloha_sim
A collection of tabletop tasks in Mujoco
alphaevolve_results
No description provided for this repository.
alphaproof-nexus-results
Lean math proofs generated by AlphaProof Nexus and accompanying natural language prose proofs.
ai-foundations
No description provided for this repository.
grid-cells
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
perception_test
No description provided for this repository.
predictingthepast
No description provided for this repository.
jax_privacy
Algorithms for Privacy-Preserving Machine Learning in JAX
gemini_icpc2025
Gemini 2025 ICPC World Finals Code Submissions
md4
Official Jax Implementation of MD4 Masked Diffusion Models
transformer_grammars
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)
geeflow
GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.
bbeh
No description provided for this repository.
envlogger
A tool for recording RL trajectories.
game_arena
No description provided for this repository.
pushworld
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
latent-multi-hop-reasoning
[ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?
neural_networks_solomonoff_induction
Learning Universal Predictors
proactive_t2i_agents
Code release for the paper, "Proactive Agents for Text-to-Image Generation under Uncertainty"
dangerous-capability-evaluations
No description provided for this repository.
alphatensor_quantum
No description provided for this repository.
personality_in_llms
No description provided for this repository.
fusion_surrogates
A library of surrogate transport models for tokamak fusion.
qtqp
No description provided for this repository.
hierarchical_perceiver
No description provided for this repository.
multiscope
Real-time visualisation
lm_act
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
agent_debugger
Causal Analysis of Agent Behavior for AI Safety
informed_adversary_mnist_reconstruction
No description provided for this repository.
unlearning_evaluation
No description provided for this repository.
autonumerics_zero
No description provided for this repository.
reaf
Robotics Environment Authoring Framework
speech-compass
"Making group conversations more accessible. Real-time speaker localization and directional guidance for mobile speech-to-text. ACM CHI 2025 Best Paper Award."
gr3en
No description provided for this repository.
amplio
No description provided for this repository.
Frequently asked questions
What does google-deepmind build on GitHub?
Google DeepMind builds various projects on GitHub focused on artificial intelligence and machine learning. Their repositories include implementations of research papers, such as deepmind-research and alphafold, and tools for physics simulation like mujoco.
Which programming languages does google-deepmind use?
Google DeepMind primarily uses Python, Jupyter Notebook, C++, Lean, C, and Go for their projects. This diverse set of languages allows them to develop a variety of applications and research tools in the AI domain.
Are google-deepmind's repositories public?
Yes, all of Google DeepMind's repositories are public on GitHub. This openness enables collaboration and access to their innovative research tools and implementations, fostering community engagement in AI development.
Is this exposure intended?
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