La organización google-deepmind tiene una presencia significativa en GitHub, donde alberga una amplia gama de repositorios públicos. Sus proyectos más destacados incluyen deepmind-research, mujoco y alphafold, que utilizan principalmente lenguajes como Python, Jupyter Notebook y C++. Esta actividad resalta su compromiso con la investigación y el desarrollo en inteligencia artificial.
This repository contains implementations and illustrative code to accompany DeepMind publications
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Open source code for AlphaFold 2.
TensorFlow-based neural network library
AlphaFold 3 inference pipeline.
StarCraft II Learning Environment
No se proporcionó descripción para este repositorio.
A customisable 3D platform for agent-based AI research
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.
No se proporcionó descripción para este repositorio.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Learning to Learn in TensorFlow
A library of reinforcement learning components and agents
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
JAX-based neural network library
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.
No se proporcionó descripción para este repositorio.
Monte Carlo tree search in JAX
Optax is a gradient processing and optimization library for JAX.
No se proporcionó descripción para este repositorio.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
No se proporcionó descripción para este repositorio.
Tracking Any Point (TAP)
A JAX research toolkit for building, editing, and visualizing neural networks.
Convolutional neural network model for video classification trained on the Kinetics dataset.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
A library for generative social simulation
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
No se proporcionó descripción para este repositorio.
A collection of formalized statements of conjectures in Lean.
RL research on Android devices.
No se proporcionó descripción para este repositorio.
Dramatron uses large language models to generate coherent scripts and screenplays.
No se proporcionó descripción para este repositorio.
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
tree is a library for working with nested data structures
No se proporcionó descripción para este repositorio.
A platform for managing machine learning experiments
A suite of test scenarios for multi-agent reinforcement learning.
Research code accompanying AlphaGenome
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
No se proporcionó descripción para este repositorio.
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
TORAX: Tokamak transport simulation in JAX
On the Theoretical Limitations of Embedding-Based Retrieval
No se proporcionó descripción para este repositorio.
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
Restoring and attributing ancient texts using deep neural networks
Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
No se proporcionó descripción para este repositorio.
Dataset to assess the disentanglement properties of unsupervised learning methods
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
PIX is an image processing library in JAX, for JAX.
A Python interface for reinforcement learning environments
Official repository for "VideoPrism: A Foundational Visual Encoder for Video Understanding" (ICML 2024)
Barkour Robot: Agile Quadruped Robots by Google DeepMind
Benchmarking physical understanding in generative video models
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
No se proporcionó descripción para este repositorio.
A collection of tabletop tasks in Mujoco
No se proporcionó descripción para este repositorio.
Lean math proofs generated by AlphaProof Nexus and accompanying natural language prose proofs.
Multi-object image datasets with ground-truth segmentation masks and generative factors.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
Foundation models for 4D spatial and temporal vision tasks.
No se proporcionó descripción para este repositorio.
Algorithms for Privacy-Preserving Machine Learning in JAX
No se proporcionó descripción para este repositorio.
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.
No se proporcionó descripción para este repositorio.
A tool for recording RL trajectories.
No se proporcionó descripción para este repositorio.
A networking protocol for agent-environment communication
A large-scale NOCS dataset.
No se proporcionó descripción para este repositorio.
AlphaGeometry2 symbolic engine (DDAR) with examples
This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.
Amplio: A Lightweight Agent Harness for Robust and Long-Horizon Runs
A toolkit for building multimodal, streaming APIs and UIs
Bagz is a format for storing a sequence of string records. It supports per-record compression and fast index-based lookup.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
A library of surrogate transport models for tokamak fusion.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
Robotics Environment Authoring Framework
No se proporcionó descripción para este repositorio.
Set of interfaces for Python reinforcement learning (RL) environments
No se proporcionó descripción para este repositorio.
No se proporcionó descripción para este repositorio.
google-deepmind desarrolla diversos proyectos relacionados con la inteligencia artificial, destacando repositorios como deepmind-research, que incluye implementaciones de publicaciones, y alphafold, que se centra en la predicción de estructuras de proteínas.
La organización utiliza principalmente Python, Jupyter Notebook y C++ en sus repositorios. También emplea Lean, C y Go en varios de sus proyectos, lo que refleja su enfoque en el desarrollo de soluciones avanzadas en IA.
Sí, todos los repositorios de google-deepmind son públicos. Esto permite a la comunidad acceder a sus trabajos, colaborar y aprovechar sus investigaciones y herramientas en el campo de la inteligencia artificial.
Monitorea a Google DeepMind con RepoGuard y recibe alertas en el momento en que aparece un nuevo repositorio público.
Monitorea esta cuenta