basharbme

2048-console

A clone of the game 2048 in the console written in vanilla python without any imports.

2048-DeepQLearning

Implementation of an agent able to play 2048. Report, evaluation and implementation details in the GitHub repository. During the project I gained experience with Reinforcement learning technologies such as the gym framework and the Keras-rl library.

3D-Bioprinter-parts-and-accessories

A collection of STL files used for building or modifying a FDM printer to print gels

bone-segmentation

Source code behind the paper Fully automatic and fast segmentation of the femur bone

EEG_Classification_Deeplearning

EEG Signal Classification using LSTM on various datasets

Health_Discernment_System

An efficient and user-friendly application with GUI based (Tkinter) front-end and various custom CNN models as back-end which detects various human diseases such as Malaria, Pneumonia, Breast Cancer and Skin Cancer using cell, tissue, x-ray or skin images.

Intelligent-Estimation-of-Speed-of-Induction-Motor

speed tracking capability of model reference adaptive system (MRAS) with model-based flux/speed observers and artificial neural network (ANN)-based adaptive speed estimators for sensorless induction motor (IM) drives has been analyzed. In model-based technique, mathematical model of IM is used to estimate the rotor speed. The current and flux observers are used as the reference model to estimate the rotor flux. The estimated rotor flux signals are used as the input signal for the adaptive observer to estimate the speed. In ANN-based method, adaptive model is constructed with a feedforward neural network to estimate the rotor speed. Feedforward ANN algorithm is used to train the network. The training algorithm decides the learning speed, stability, and dynamic performance of the system. Both methods have good speed tracking capability. Simulation results are presented to know the accuracy of the proposed methods. The proposed speed estimation techniques have great potential in industrial applications.

MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

SmileToCast-Blender

Blender console easily convert dentist planning smile to 3D printable customized cast for veneers \ or cosmetics procedure planning .. Cast to be then scaled to real size impression.

TMJ-prosthesis-Blender

Open source TMJ Prosthesis Customizable to patient anatomy

basharbme/Linear-Adaptive-MPC

This repository is part of my diploma thesis titled "Development of Model Predictive Control (MPC) schemes for unmanned aerial vehicles using neural networks". The current project focuses on MPC controller design for controlling the altitude dynamics of the quadrotor as well as the x-y plane position

basharbme/Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

basharbme/5G3E-dataset

basharbme/basix

FEniCS finite element basis evaluation library

basharbme/BTP-Deep-Learning-based-Channel-Estimation-in-5G

B.Tech Project for Session 2020-21

basharbme/carnotUIBK

carnotUIBK - The MATLAB Toolbox for thermal building simulations

basharbme/CFD_AR_VR

Multiplatform processing of CFD simulations with AR/VR

basharbme/cloudsim

CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

basharbme/Detection-and-Counting-Vehicles-using-OpenCV

In this project, we will be coding a vehicle counting and detection system. It will be enough to work for both the images or the video, for the same, we will be using OpenCV for doing all the image processing operations and for classification the car and bus HAAR cascade classifier for detecting and counting the cars and buses.

basharbme/EV-Thermal-Management-Simscape-ELIV-2023

Model for ELIV Conference 2023

basharbme/gree-hvac-client

Client for controlling Gree (and other compatible) smart air conditioners

basharbme/GSA-Power_Loss_Optimization

basharbme/hub-1

Ultralytics HUB tutorials and support

basharbme/hybridmodels

(In progress) scraping remote sensing data from Google Earth Engine and various sources, processing into 32x32 tiles for training a spatiotemporal random forest flood prediction model. Also beta code for CNNs using Tensorflow.

basharbme/keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

basharbme/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

basharbme/labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

basharbme/learnopencv

Learn OpenCV : C++ and Python Examples

basharbme/mmcv

OpenMMLab Computer Vision Foundation

basharbme/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

basharbme/model-zoo

MONAI Model Zoo that hosts models in the MONAI Bundle format.

basharbme/omnetpp-ml

Materials on how to use machine learning frameworks in OMNeT++

basharbme/paramfittorchdemo

How to use pytorch to fit parameters of differential equations

basharbme/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

basharbme/therapy-aid-tool

Monitor patient's progress in autism therapies using computer vision

basharbme/total_perspective_vortex

Plug your brain to the shell

basharbme/TotalSegmentator

Tool for robust segmentation of 104 important anatomical structures in CT images

basharbme/voyager-cpu

A simple Python emulation a 32-bit RISC-V CPU

basharbme/yolo8-quickstart

This repository contains a beginner's guide to using pre-trained YOLO8 for object detection. It includes step-by-step instructions, examples, and tips for success. Whether you're new to YOLO8 or object detection in general, this guide will help you get started and build your skills in computer vision.

basharbme/YOLOv7-Bone-Fracture-Detection

YOLOv7 to detect bone fractures on X-ray images