Timo Klein (timoklein)

timoklein

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Company:University of Vienna

Location:Vienna, Austria

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Timo Klein's starred repositories

rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

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include-what-you-use

A tool for use with clang to analyze #includes in C and C++ source files

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reinforcement-learning-an-introduction

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

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torchinfo

View model summaries in PyTorch!

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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comparxiv

Compare two version of an arXiv preprint with a single command.

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arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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rlai-exercises

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

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just-pandas-things

An ongoing list of pandas quirks

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json

JSON for Modern C++

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cleanrl

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

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pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

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SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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the-art-of-command-line

Master the command line, in one page

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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