EsiSeraj
PhD Student, Graduate Research Assistant @Georgia Tech - Robotics & Intelligent Machines
Georgia Institute of TechnologyAtlanta, Ga
Pinned Repositories
awesome-robotics-ai-companies
A living list of important industry innovators in the Robotics and AI space
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Basic_Plain_DNN
Basic Deep Learning Modules (Logistic Regression - Plain Shallow Network - Plain Deep Network) in Python [FOR STARTERS]
deeprl_network
multi-agent deep reinforcement learning for networked system control.
EEG-PhaseFreq-Analysis
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
ERP_Connectivity_EMG_Analysis
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
FireCommander2020
FireCommander2020: A Multiagent, Interactive Joint Perception-Action Reconnaissance Environment
gym
A toolkit for developing and comparing reinforcement learning algorithms.
ma-gym
A collection of multi agent environments based on OpenAI gym.
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
EsiSeraj's Repositories
EsiSeraj/EEG-PhaseFreq-Analysis
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
EsiSeraj/ERP_Connectivity_EMG_Analysis
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
EsiSeraj/FireCommander2020
FireCommander2020: A Multiagent, Interactive Joint Perception-Action Reconnaissance Environment
EsiSeraj/Basic_Plain_DNN
Basic Deep Learning Modules (Logistic Regression - Plain Shallow Network - Plain Deep Network) in Python [FOR STARTERS]
EsiSeraj/awesome-robotics-ai-companies
A living list of important industry innovators in the Robotics and AI space
EsiSeraj/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
EsiSeraj/deeprl_network
multi-agent deep reinforcement learning for networked system control.
EsiSeraj/gym
A toolkit for developing and comparing reinforcement learning algorithms.
EsiSeraj/ma-gym
A collection of multi agent environments based on OpenAI gym.
EsiSeraj/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
EsiSeraj/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
EsiSeraj/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
EsiSeraj/PettingZoo
Gym for multi-agent reinforcement learning
EsiSeraj/robotics-toolbox-matlab
Robotics Toolbox for MATLAB
EsiSeraj/stable-baselines
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
EsiSeraj/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
EsiSeraj/MDA
Mixture Domain Adaptation to Improve Semantic Segmentation for AV
EsiSeraj/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
EsiSeraj/SemanticSegmentation
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire: