gladisor

gladisor's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python35k48119.3k6k

• suragnair/alpha-zero-general

  A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

  Language:Jupyter Notebook4k1131801.1k

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.6k83267442

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.9k57795774

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k29114131

• pfnet/pfrl

  PFRL: a PyTorch-based deep reinforcement learning library

  Language:Python1.2k9175157

• google-deepmind/reverb

  Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

  Language:C++7122512697

• JuliaReinforcementLearning/ReinforcementLearning.jl

  A reinforcement learning package for Julia

  Language:Julia60112344111

• dojo-sim/Dojo.jl

  A differentiable physics engine for robotics

  Language:Julia32675229

• CarloLucibello/GraphNeuralNetworks.jl

  Graph Neural Networks in Julia

  Language:Julia226716545

• baggepinnen/Hyperopt.jl

  Hyperparameter optimization in Julia.

  Language:Julia2017020

• SciML/MethodOfLines.jl

  Automatic Finite Difference PDE solving with Julia SciML

  Language:Julia1691420332

• openai/gym3

  Vectorized interface for reinforcement learning environments

  Language:Python140127546

• yilundu/gem

  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields

  Language:Python66467

• gladisor/Reinforcement-Learning-Applied-To-Metamaterial-Design

  Using deep reinforcement learning to design a broadband acoustic cloak. Created under the supervision of PhD. Feruza Amirkulova and PhD Peter Gerstoft. With the help of: Linwei Zhou, Peter Lai, and Amaris De La Rosa.

  Language:Python173168

• nasa/pigans-material-ID

  Language:Python167010

• DanKulik/Blob-Maker

  Create Blob Shapes in Python

  Language:Python5101

• pauljmello/minimal-ddpm

  simple ddpm implementation

  Language:Python10