Ali Baheri's repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
JuliaProgrammingForNervousBeginners
A course for people who are hesitant but curious about learning to write code in Julia.
notes
Resources to learn more about Machine Learning and Artificial Intelligence
em-overview
Overview of the aircraft encounter models that support safety analysis and development of aircraft avoidance systems.
analytics-zoo
Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
PythonRobotics
Python sample codes for robotics algorithms.
awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
deep-learning-notes
Experiments with Deep Learning
rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
awesome-neural-ode
A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks
deep-neuroevolution
Deep Neuroevolution
Autonomous-ATC
The open source air traffic simulator
Telemetry-Data
A collection of telemetry captured from SpaceX Launch Webcasts
IV19
My 10 takeaways from the 2019 Intelligent Vehicle Symposium
aa228-notebook
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
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
divergence-and-quality-diversity
A collection of papers on divergence and quality diversity
AutomotiveSafeRL
Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.
quadgym
OpenAI gym Environments for Quadrotor Control
MAP-Elites
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
flow
Computational framework for reinforcement learning in traffic control
DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind