A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
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.
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A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
AlphaFold 3 inference pipeline.
Open-source implementation of AlphaEvolve
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
A suite of test scenarios for multi-agent reinforcement learning.
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
TensorFlow-based neural network library
Gemma open-weight LLM library, from Google DeepMind
A library of reinforcement learning components and agents
JAX-based neural network library
Monte Carlo tree search in JAX
Optax is a gradient processing and optimization library for JAX.
A library for generative social simulation
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
RL research on Android devices.
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PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
A platform for managing machine learning experiments
Research code accompanying AlphaGenome
TORAX: Tokamak transport simulation in JAX
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Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
AlphaProtein Novo
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.