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Pierre Thodoroff's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

emukit icon emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

kafker icon kafker

A tiny Kafka-driven text publishing social network service.

neurips2014 icon neurips2014

Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.

pierthodo.github.io icon pierthodo.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

py-pde icon py-pde

Python package for solving partial differential equations using finite differences.

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rembg icon rembg

Rembg is a tool to remove images background.

rtrl icon rtrl

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

td3 icon td3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

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