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.
This repository contains implementations and illustrative code to accompany DeepMind publications
Open source code for AlphaFold 2.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
TensorFlow-based neural network library
AlphaFold 3 inference pipeline.
A customisable 3D platform for agent-based AI research
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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.
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Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A library of reinforcement learning components and agents
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Monte Carlo tree search in JAX
Optax is a gradient processing and optimization library for JAX.
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An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
Tracking Any Point (TAP)
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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.
Convolutional neural network model for video classification trained on the Kinetics dataset.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
A library for generative social simulation
A Graph Neural Network Library in Jax
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GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
RL research on Android devices.
Dramatron uses large language models to generate coherent scripts and screenplays.
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tree is a library for working with nested data structures
A collection of formalized statements of conjectures in Lean.
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A platform for managing machine learning experiments
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A suite of test scenarios for multi-agent reinforcement learning.
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
Research code accompanying AlphaGenome
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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
Open weights language model from Google DeepMind, based on Griffin.
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This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
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Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
Official repository for "VideoPrism: A Foundational Visual Encoder for Video Understanding" (ICML 2024)
Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple regression tasks.
Implementation of Meta-Learning with Latent Embedding Optimization
Benchmarking physical understanding in generative video models
Multi-object image datasets with ground-truth segmentation masks and generative factors.
Lean math proofs generated by AlphaProof Nexus and accompanying natural language prose proofs.
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Algorithms for Privacy-Preserving Machine Learning in JAX
Gemini 2025 ICPC World Finals Code Submissions
Jeo: Jax model training lib for Earth Observation
Official Jax Implementation of MD4 Masked Diffusion Models
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Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)
A tool for recording RL trajectories.
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A JAX Research Toolkit for Visualizing, Manipulating, and Understanding Gemma Models with Multi-modal Support based on Penzai.
ML-guided enzyme engineering
AlphaGeometry2 symbolic engine (DDAR) with examples
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A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.
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GenAI evaluation framework, optimized for 100x lower cost 🚀.
Real-time visualisation
Simulation Streams is a programming paradigm designed to efficiently control and leverage Large Language Models (LLMs) for complex, dynamic simulations and agentic workflows.
Code & data for "Towards flexible perception with visual memory" (ICML 2025)
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"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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A Python library for easy access and manipulation of nested data structures.
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.
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.
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.
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