rafeemusabbir
Machine Learning, Data Science, Dynamic Games, Traffic Operation & Control
California Air Resources BoardDavis, California
Pinned Repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
differential-games
DynamicGames
IntelAlgo
Intelligent Algorithms used in Scientific Machine learning and Aritificial Intelligence Approaches
IntelDataVault
A repository on data science in Julia programming language. It contains the basics of statistical modeling and bayesian modeling tutorials from various web resources.
InteMoGames
Intelligent Mobility Games
IPOMDP-Net
OptimalControl
Self_Driving_Car_specialization
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
StochasticOptimalControl
rafeemusabbir's Repositories
rafeemusabbir/firedrake
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
rafeemusabbir/learning-rl
rafeemusabbir/differential-games
rafeemusabbir/AutomotiveDrivingModels.jl
Driving simulation architecture for Julia
rafeemusabbir/POMDPs.jl
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
rafeemusabbir/machine_learning_examples
A collection of machine learning examples and tutorials.
rafeemusabbir/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
rafeemusabbir/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
rafeemusabbir/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
rafeemusabbir/AutomotiveInteraction.jl
Driver modeling using the Interaction dataset
rafeemusabbir/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
rafeemusabbir/autoware
Open-source software for self-driving vehicles
rafeemusabbir/flow
Computational framework for reinforcement learning in traffic control
rafeemusabbir/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
rafeemusabbir/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
rafeemusabbir/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
rafeemusabbir/scipy
Scipy library main repository
rafeemusabbir/msppy
rafeemusabbir/auto-sklearn
Automated Machine Learning with scikit-learn
rafeemusabbir/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
rafeemusabbir/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
rafeemusabbir/julia
The Julia Language: A fresh approach to technical computing.
rafeemusabbir/PythonRobotics
Python sample codes for robotics algorithms.
rafeemusabbir/openpilot
open source driving agent
rafeemusabbir/apollo
An open autonomous driving platform
rafeemusabbir/Nashpy
A library for the computation of Nash equilibria in two player games
rafeemusabbir/Zero2Hero-JuliaWorkshop
Intensive Julia workshop that takes you from zero to hero
rafeemusabbir/NLOptControl.jl
nonlinear control optimization tool
rafeemusabbir/fenics-tutorial
Source files and published documents for the FEniCS tutorial.
rafeemusabbir/self-driving-car-sim
A self-driving car simulator built with Unity