AliBaheri

100-Days-Of-ML-Code

100 Days of ML Coding

100_Days_of_ML_Code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

awesome-neural-ode

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

Behavioral_Cloning_Project_SDCND

Utilized Keras deep learning framework and OpenCV to train a car to drive in a simulator.

Deep-Learning-AndrewNg

Repo for the Deep Learning Specialization offered by Coursera

emukit

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

exploring_citibike

Code for website post on exploring CitiBike data

Safe-Reinforcement-Learning

The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.

SigOpt

tesla-stocks-prediction

The implementation of LSTM in TensorFlow used for the stock prediction.

AliBaheri/awesome-neural-ode

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

AliBaheri/emukit

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

AliBaheri/aa228-notebook

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

AliBaheri/al-folio

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

AliBaheri/alibaheri.github.io

AliBaheri/analytics-zoo

Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark

AliBaheri/AutomotiveSafeRL

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

AliBaheri/Autonomous-ATC

The open source air traffic simulator

AliBaheri/awesome-deep-neuroevolution

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

AliBaheri/Deep-Learning-for-Spatio-temporal-Prediction

AliBaheri/deep-learning-notes

Experiments with Deep Learning

AliBaheri/deep-neuroevolution

Deep Neuroevolution

AliBaheri/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

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

AliBaheri/divergence-and-quality-diversity

A collection of papers on divergence and quality diversity

AliBaheri/em-overview

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

AliBaheri/flow

Computational framework for reinforcement learning in traffic control

AliBaheri/IV19

My 10 takeaways from the 2019 Intelligent Vehicle Symposium

AliBaheri/JuliaProgrammingForNervousBeginners

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

AliBaheri/MachineLearningNotebooks

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

AliBaheri/MAP-Elites

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

AliBaheri/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

AliBaheri/Neuroevolution_of_Augmenting_Topologies_Paper

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

AliBaheri/notes

Resources to learn more about Machine Learning and Artificial Intelligence

AliBaheri/PythonRobotics

Python sample codes for robotics algorithms.

AliBaheri/quadgym

OpenAI gym Environments for Quadrotor Control

AliBaheri/rl-baselines-zoo

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

AliBaheri/rl-tutorial-jnrr19

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

AliBaheri/RockSample_POMDP

AliBaheri/teachDeepRL

AliBaheri/Telemetry-Data

A collection of telemetry captured from SpaceX Launch Webcasts