Bashar Shami's repositories
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
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
basix
FEniCS finite element basis evaluation library
BTP-Deep-Learning-based-Channel-Estimation-in-5G
B.Tech Project for Session 2020-21
CFD_AR_VR
Multiplatform processing of CFD simulations with AR/VR
cocoapi
COCO API - Dataset @ http://cocodataset.org/
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.
hub-1
Ultralytics HUB tutorials and support
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.
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.
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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.
land_cover_classification_unet
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
learnopencv
Learn OpenCV : C++ and Python Examples
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mmcv
OpenMMLab Computer Vision Foundation
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
model-zoo
MONAI Model Zoo that hosts models in the MONAI Bundle format.
MOST
MOST (Matlab for Offshore wind turbine Simulation Tool) is an innovative non-linear, time domain numerical model for the simulation of offshore floating wind turbines, developed in Matlab-Simulink environment.
omnetpp-ml
Materials on how to use machine learning frameworks in OMNeT++
paramfittorchdemo
How to use pytorch to fit parameters of differential equations
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
therapy-aid-tool
Monitor patient's progress in autism therapies using computer vision
total_perspective_vortex
Plug your brain to the shell
TotalSegmentator
Tool for robust segmentation of 104 important anatomical structures in CT images
voyager-cpu
A simple Python emulation a 32-bit RISC-V CPU
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.
YOLOv7-Bone-Fracture-Detection
YOLOv7 to detect bone fractures on X-ray images