razajhandir Goto Github PK

amaz3dsim

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

aspen_hysys_python

Aspen HYSYS - Python connection

atari_pygame

python pygame module for aiding the creation of atari 2600 like games with graphics and sound routines

contiki

The official git repository for Contiki, the open source OS for the Internet of Things

crypto-price-forecasting-public

This is the GitHub repository complementing the paper "Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data"

cryptopredictions

CryptoCurrency prediction using machine learning and deep learning

m3ddpg

marl-patrolling-agents

Project on multi agent reinforcement learning applied on patrolling agents

msp430-gcc-4.7.3

Bin file for msp430 gcc 4.7.3

mspsim

Contiki fork of the MSPSim git

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms.

nd013-c2-fusion-starter

Starter Code for the Course 2 project of the Udacity Self-Driving Car Engineer Nanodegree Program

niapy

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

on-policy-ppo

This is the official implementation of Multi-Agent PPO (MAPPO).

powertrace

It is a Powertrace extenssion that implements the Kibam Battery model. Features of PowertraceK: (i) It measures the energy consumption in Receive, Transmit, Low power and idle; (ii) It provides the remaining energy in the battery of each node.

pyuic5-tool

race

(ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

scancomplete

[CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

sensor-fusion-3d-multi-object-tracking

Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)

vectorizedmultiagentsimulator

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

youtube-code-repository

Repository for most of the code from my YouTube channel