Mohammad Mahdi Rahimi's starred repositories
E-Commerce_Service_DataBase
designing an online shop using postgreSql and Python
Obstacle_Avoidance_VFH_algorithm
This project focuses on implementing obstacle avoidance using the Vector Field Histogram (VFH) algorithm. We aim to develop a robust system that allows a mobile robot to navigate through complex environments, avoiding obstacles effectively by utilizing VFH-based decision-making.
PowerManagement_in_IOT_lecture
I was a guest lecturer at Profersor Rasti Internet Of Things curse in 2021. I taught two sessions about Power management. This repository is the power point that I made for the lecture
InformationRetrieval
Information retrieval system that is able to retrieve documents as well as classifying them. It is implemented on documents from ISNA News Agency.
wall_following_using_PID_in_ROS
This project involves the development of a wall-following mobile robot using a PID (Proportional-Integral-Derivative) controller. The robot is simulated in the ROS (Robot Operating System) environment, utilizing Gazebo and RViz simulators for a comprehensive and realistic simulation.
fuzzy-C-Means-Clustering
fuzzy C-Means clustering project, AmirKabir AI course spring 2021
NLP_Persian_Poem_classification
NLP project, using unigram and bigram and back off model
Localization-based-on-LoRaWAN-Network
An IOT Localization project based on LoRaWAN communication technology usign RSSI analysis with machine learning techniques.
lightning-torchrl
Experimenting with integrating PyTorch Lightning + TorchRL for differentiable environments running on multiple GPUs
shaghighi.ir
shaghighi.ir website redirection
DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
ntk-lookahead-active-learning
[NeurIPS'22] Making Look-Ahead Active Learning strategies feasible with Neural Tangent Kernels
meltingpot
A suite of test scenarios for multi-agent reinforcement learning.