Sarder Rafee Musabbir's repositories
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
A-Curious-Case-of-Household-Study
The write-up illustrates the essential introduction to visualize any typical household survey data to understand the travel demand pattern of a region.
AdvancedScientificComputing
A short course on Julia and open-source software development
awe-pub-data
A topic-centric list of HQ open datasets.
BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
CurvesGenerator
Common used curves for motion planning.
data-science-projects
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Econometrics.jl
Econometrics in Julia
IterativeLQR.jl
A Julia package for constrained iterative LQR (iLQR)
letslearnai
Resources and learning paths for Machine Learning
LsqFit.jl
Simple curve fitting in Julia
mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
MiscTutorial
This repository contains all types of interesting tutorial that I have come across over the time. I will gradually upload all the tutorial in various form of details. I will also note the effectiveness of each tutorial to develop my understanding.
model-based-RL
A curated list of awesome model based RL resources (continually updated)
motion_planning
Algorithms and experiments for robot motion planning. Implemented in Julia.
PartiallyObservedInverseGames.jl
An inverse game solver for inferring objectives from noise-corrupted partial state observations of non-cooperative multi-agent interactions.
personal-site
My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.
practice-code
A community driven project to provide solutions for LeetCode problems in the Julia programming language.
rafeemusabbir.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
rl_ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Turing-Workshop
Workshop of Bayesian Statistics using Julia and Turing