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/IPOMDP-Net
rafeemusabbir/18337
18.337 - Parallel Computing and Scientific Machine Learning
rafeemusabbir/18S096SciML
18.S096 - Applications of Scientific Machine Learning
rafeemusabbir/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
rafeemusabbir/AdversarialRoadModel
Discriminating kernel algorithm implementation and neural network approximation, as presented in "Safe Motion Planning for Autonomous Drivingusing an Adversarial Road Model"
rafeemusabbir/ControlSystems.jl
A Control Systems Toolbox for Julia
rafeemusabbir/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
rafeemusabbir/DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
rafeemusabbir/dispatching-design-patterns
JuliaCon 2020 talk
rafeemusabbir/Dynamics-and-Control
Dynamics, MPC, LQR, etc. One repo to rule them all.
rafeemusabbir/Econometrics
Econometrics lecture notes with examples using the Julia language
rafeemusabbir/FEniCS.jl
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
rafeemusabbir/hierarchical-model-blog
Source code for the experiments in my blog on Bayesian hierarchical modeling
rafeemusabbir/IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
rafeemusabbir/JuMPTutorials.jl
Tutorials on using JuMP for mathematical optimization in Julia
rafeemusabbir/LearnJulia2020
rafeemusabbir/MachineLearningInJulia2020
Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox
rafeemusabbir/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
rafeemusabbir/NeuralNetDiffEq.jl
Physics-Informed Neural Network and Deep BSDE Solvers of Differential Equations
rafeemusabbir/NLPModels.jl
Data Structures for Optimization Models
rafeemusabbir/OpenStreetMapX.jl
OpenStreetMap (*.osm) support for Julia 1.0 and up
rafeemusabbir/pandas-cookbook
Recipes for using Python's pandas library
rafeemusabbir/quantecon-notebooks-julia
rafeemusabbir/ReachabilityAnalysis.jl
Methods to compute sets of states reachable by dynamical systems
rafeemusabbir/StatsWithJuliaBook
rafeemusabbir/StochasticPrograms.jl
Julia package for formulating and analyzing stochastic recourse models.
rafeemusabbir/SUMO-DVSL
A SUMO environment for differential varaible speed limits control
rafeemusabbir/SurveyofPDEPackages
Survey of the packages of the Julia ecosystem for solving partial differential equations
rafeemusabbir/Trajectron-plus-plus
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
rafeemusabbir/VMLS-Companions
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.