Jahandad-Baloch
I’m a PhD student at University of Ottawa, working on Machine Learning algorithms, concentrated on MARL and GNNs.
University of OttawaOttawa, On
Pinned Repositories
CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
gym_cityflow
Adds CityFlow to Gym
LibSignal
portfolio
pytorch-Deep-Learning
Deep Learning (with PyTorch)
RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
sigver_wiwd
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
TorontoSUMONetworks
TorontoSUMONetworks is a comprehensive repository designed to facilitate the creation, manipulation, and simulation of traffic networks in Toronto using SUMO (Simulation of Urban MObility). It features scripts for building and processing networks, managing traffic data, and running simulations with extensive configurability.
Jahandad-Baloch's Repositories
Jahandad-Baloch/TorontoSUMONetworks
TorontoSUMONetworks is a comprehensive repository designed to facilitate the creation, manipulation, and simulation of traffic networks in Toronto using SUMO (Simulation of Urban MObility). It features scripts for building and processing networks, managing traffic data, and running simulations with extensive configurability.
Jahandad-Baloch/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Jahandad-Baloch/epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
Jahandad-Baloch/gym_cityflow
Adds CityFlow to Gym
Jahandad-Baloch/LibSignal
Jahandad-Baloch/portfolio
Jahandad-Baloch/pytorch-Deep-Learning
Deep Learning (with PyTorch)
Jahandad-Baloch/RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
Jahandad-Baloch/sigver_wiwd
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Jahandad-Baloch/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Jahandad-Baloch/sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Jahandad-Baloch/UniLight
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
Jahandad-Baloch/virtual-shopping-parties