google-deepmind/actionengine-tsTypeScript
(7 stars) (2 forks) (0 issues indexadas) (0 good first issues abertas)
Repositórios
Repositórios de google-deepmind
Open source code for AlphaFold.
(11.277 stars) (2.023 forks) (0 issues indexadas) (0 good first issues abertas)
AlphaFold 3 inference pipeline.
(8.347 stars) (1.310 forks) (1 issue indexada) (1 good first issue aberta)
(4.879 stars) (572 forks) (0 issues indexadas) (0 good first issues abertas)
google-deepmind/bsuitePython
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
(1.420 stars) (182 forks) (0 issues indexadas) (0 good first issues abertas)
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
(4.665 stars) (762 forks) (0 issues indexadas) (0 good first issues abertas)
(15 stars) (0 forks) (0 issues indexadas) (0 good first issues abertas)
Build Graph Nets in Tensorflow
(5.316 stars) (782 forks) (0 issues indexadas) (0 good first issues abertas)
A customisable 3D platform for agent-based AI research
(6.937 stars) (1.383 forks) (0 issues indexadas) (0 good first issues abertas)
Learning to Learn in TensorFlow
(4.067 stars) (613 forks) (0 issues indexadas) (0 good first issues abertas)
Multi-Joint dynamics with Contact. A general purpose physics simulator.
(14.570 stars) (1.689 forks) (2 issues indexadas) (2 good first issues abertas)
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
(3.828 stars) (530 forks) (0 issues indexadas) (0 good first issues abertas)
Real-time behaviour synthesis with MuJoCo, using Predictive Control
(1.705 stars) (279 forks) (0 issues indexadas) (0 good first issues abertas)
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
(2.153 stars) (348 forks) (1 issue indexada) (1 good first issue aberta)
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
(1.401 stars) (196 forks) (0 issues indexadas) (0 good first issues abertas)
(94 stars) (10 forks) (0 issues indexadas) (0 good first issues abertas)
(23 stars) (2 forks) (0 issues indexadas) (0 good first issues abertas)
google-deepmind/onetwoPython
(270 stars) (18 forks) (0 issues indexadas) (0 good first issues abertas)
Benchmarking physical understanding in generative video models
(302 stars) (33 forks) (0 issues indexadas) (0 good first issues abertas)
google-deepmind/pysc2Python
StarCraft II Learning Environment
(7.868 stars) (1.162 forks) (3 issues indexadas) (3 good first issues abertas)