Reza Azadeh's Projects
This project is a part of a study conducted by ARL STRONG.
Capture trajectory demonstrations from a pointer device
Libraries for training and testing Continuous Conditional Neural Fields with a number of sample problems and other baselines.
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
DRM Removal Tools for eBooks
Python code for Expectation-Maximization estimate of Gaussian mixture model
Expectation-Maximization (EM) algorithm in Matlab
Scripts to query and process recorded game data from the ARL STRONG 2D games
This is a simple implementation of K-means algorithm in MATLAB and Python
This repository includes programs and functions for Jaco2 Kinova arm. These functions are suitable for studying Learning from Demonstration approaches.
Multi-agent multi-armed bandit simulation optimized to work with the just-in-time compiler Numba.
MIND Documentation
MIND SDK
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
Point Cloud Library (PCL)
Catkin workspace for the PeARL laboratory at University of Massachusetts - Lowell
This repository includes documents related to research conducted in my group
Python sample codes for robotics algorithms.
COMP5300/4600 Reinforcement Learning course at the University of Massachusetts Lowell
A tiny python module for Quaternions
Trajectory Learning using Generalized Cylinders
Chrome Offline page "T-Rex Runner" game bot
A Latex Template for Thesis and Dissertation Prepration. This template was adopted from the mitthesis class.
A Demo of Visuospatial Skill Learning (VSL) Approach