L'account GitHub di Google DeepMind presenta una vasta gamma di repository pubblici, con un'attenzione particolare a linguaggi come Python, C++ e Jupyter Notebook. Tra i progetti più noti figurano deepmind-research, alphafold e mujoco, che supportano ricerche avanzate nell'intelligenza artificiale e nella simulazione fisica.
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 sviluppa progetti open source che spaziano dalla ricerca nell'intelligenza artificiale all'implementazione di algoritmi complessi. I loro repository includono strumenti come alphafold per la previsione delle strutture proteiche e mujoco per la simulazione fisica.
Google DeepMind utilizza principalmente Python, C++ e Jupyter Notebook nei suoi progetti. Questi linguaggi sono fondamentali per le sue ricerche e implementazioni nell'intelligenza artificiale e nella simulazione.
Sì, tutti i repository di Google DeepMind sono pubblici. Questo consente alla comunità di sviluppatori e ricercatori di accedere ai loro progetti e contribuire al progresso della ricerca nell'intelligenza artificiale.
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