High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Tensorforce: a TensorFlow library for applied reinforcement learning

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Spearmint Bayesian optimization codebase

A Web UI for easy subtitle using whisper model.

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

Wind Plant Integrated System Design and Engineering Model

pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.

Zotfile directory consistency checker

Parallelizing DRL for Active Flow control

Deep reinforcement learning to perform shape optimization

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

Neural Bootstrapper (NeuBoots)