The google-deepmind organization on GitHub hosts a wide range of repositories, primarily utilizing Python, Jupyter Notebook, C++, and C. Notable projects include deepmind-research, which contains code for DeepMind publications, and alphafold, the open-source implementation of AlphaFold 2, showcasing their contributions to AI research and development.
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Public repositories
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
alphafold
Open source code for AlphaFold 2.
sonnet
TensorFlow-based neural network library
alphafold3
AlphaFold 3 inference pipeline.
pysc2
StarCraft II Learning Environment
weathernext
No description provided for this repository.
lab
A customisable 3D platform for agent-based AI research
gemma
Gemma open-weight LLM library, from Google DeepMind
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
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.
alphatensor
No description provided for this repository.
mctx
Monte Carlo tree search in JAX
optax
Optax is a gradient processing and optimization library for JAX.
code_contests
No description provided for this repository.
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.
open_x_embodiment
No description provided for this repository.
tapnet
Tracking Any Point (TAP)
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
bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
mujoco_warp
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
rlax
No description provided for this repository.
formal-conjectures
A collection of formalized statements of conjectures in Lean.
android_env
RL research on Android devices.
funsearch
No description provided for this repository.
dramatron
Dramatron uses large language models to generate coherent scripts and screenplays.
synthid-text
No description provided for this repository.
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
tree
tree is a library for working with nested data structures
chex
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.
alphagenome_research
Research code accompanying AlphaGenome
ferminet
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
superhuman
No description provided for this repository.
disco_rl
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
torax
TORAX: Tokamak transport simulation in JAX
limit
On the Theoretical Limitations of Embedding-Based Retrieval
distrax
No description provided for this repository.
tips
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
ithaca
Restoring and attributing ancient texts using deep neural networks
simply
Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
clrs
No description provided for this repository.
dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
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.
dm_pix
PIX is an image processing library in JAX, for JAX.
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
physics-IQ-benchmark
Benchmarking physical understanding in generative video models
kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
enn
No description provided for this repository.
aloha_sim
A collection of tabletop tasks in Mujoco
ai-foundations
No description provided for this repository.
alphaproof-nexus-results
Lean math proofs generated by AlphaProof Nexus and accompanying natural language prose proofs.
multi_object_datasets
Multi-object image datasets with ground-truth segmentation masks and generative factors.
perception_test
No description provided for this repository.
alphaevolve_repository_of_problems
No description provided for this repository.
representations4d
Foundation models for 4D spatial and temporal vision tasks.
xquad
No description provided for this repository.
jax_privacy
Algorithms for Privacy-Preserving Machine Learning in JAX
neural_testbed
No description provided for this repository.
3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
mishax
No description provided for this repository.
envlogger
A tool for recording RL trajectories.
habermas_machine
No description provided for this repository.
dm_env_rpc
A networking protocol for agent-environment communication
omninocs
A large-scale NOCS dataset.
neptune
No description provided for this repository.
alphageometry2
AlphaGeometry2 symbolic engine (DDAR) with examples
boxoban-levels
This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.
amplio
Amplio: A Lightweight Agent Harness for Robust and Long-Horizon Runs
actionengine
A toolkit for building multimodal, streaming APIs and UIs
bagz
Bagz is a format for storing a sequence of string records. It supports per-record compression and fast index-based lookup.
pix2act
No description provided for this repository.
tell_me_a_story
No description provided for this repository.
disentangled_rnns
No description provided for this repository.
ssl_hsic
No description provided for this repository.
fusion_surrogates
A library of surrogate transport models for tokamak fusion.
romo
No description provided for this repository.
qtqp
No description provided for this repository.
wyd-benchmark
No description provided for this repository.
orbit_sfm
No description provided for this repository.
iris
No description provided for this repository.
anthro-benchmark
No description provided for this repository.
reaf
Robotics Environment Authoring Framework
agentic_ecology
No description provided for this repository.
gdm_robotics
Set of interfaces for Python reinforcement learning (RL) environments
diff-knapsack
No description provided for this repository.
polaris-bench
No description provided for this repository.
Frequently asked questions
What does google-deepmind build on GitHub?
google-deepmind builds various AI and machine learning tools on GitHub, including repositories like deepmind-research and alphafold, which focus on research implementations and breakthroughs in artificial intelligence.
Which programming languages does google-deepmind use?
The primary programming languages used by google-deepmind include Python, Jupyter Notebook, C++, and C. These languages are prevalent in their projects, enabling robust AI research and development.
Are google-deepmind's repositories public?
Yes, all of google-deepmind's repositories on GitHub are public. This transparency allows researchers and developers to access and utilize their innovative AI tools and implementations.
Is this exposure intended?
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