René TR. (kalifou)

kalifou

Geek Repo

Company:DLR & TUM

Location:München, Germany

Home Page:https://sites.google.com/view/renetraore/

Twitter:@ReneTraore2

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René TR.'s starred repositories

marlo-single-agent-starter-kit

Round 1 Starter Kit for the MarLo challenge

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carla

Open-source simulator for autonomous driving research.

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AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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trfl

TensorFlow Reinforcement Learning

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pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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theme-academic-cv

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

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SenseAct

SenseAct: A computational framework for developing real-world robot learning tasks

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GibsonEnv

Gibson Environments: Real-World Perception for Embodied Agents

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3D-Machine-Learning

A resource repository for 3D machine learning

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latex-resources

Collection of LaTeX resources and examples.

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100-Days-Of-ML-Code

100 Days of ML Coding

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ddr

Decoupling Dynamics and Reward for Transfer Learning

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DARLA-PyTorch

PyTorch implementation of DARLA preprocessing models

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stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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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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srl-zoo

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

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PythonRobotics

Python sample codes for robotics algorithms.

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higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

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DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

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zeroshot-imitation

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration

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e2c-pytorch

E2C implementation in PyTorch

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noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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