AliBaheri

awesome-neural-ode

A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks

emukit

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

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alibaheri.github.io

analytics-zoo

Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark

AutomotiveSafeRL

Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.

Autonomous-ATC

The open source air traffic simulator

awesome-deep-neuroevolution

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Deep-Learning-for-Spatio-temporal-Prediction

deep-learning-notes

Experiments with Deep Learning

deep-neuroevolution

Deep Neuroevolution

DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

divergence-and-quality-diversity

A collection of papers on divergence and quality diversity

em-overview

Overview of the aircraft encounter models that support safety analysis and development of aircraft avoidance systems.

flow

Computational framework for reinforcement learning in traffic control

IV19

My 10 takeaways from the 2019 Intelligent Vehicle Symposium

JuliaProgrammingForNervousBeginners

A course for people who are hesitant but curious about learning to write code in Julia.

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

MAP-Elites

Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

Neuroevolution_of_Augmenting_Topologies_Paper

Overview of the current state of 'Neuroevolution of Augmenting Topologies' as a seminar paper

notes

Resources to learn more about Machine Learning and Artificial Intelligence

PythonRobotics

Python sample codes for robotics algorithms.

quadgym

OpenAI gym Environments for Quadrotor Control

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

RockSample_POMDP

teachDeepRL

Telemetry-Data

A collection of telemetry captured from SpaceX Launch Webcasts