Name: Fetulhak Abdurahman
Type: User
Company: Jimma University
Bio: I am interested on the application of machine learning and deep learning algorithms for object detection/classification (focus on medical imaging) and V2X
Twitter: Fetu_Ethio
Location: Ethiopia
Blog: https://fetulhak.github.io/
Fetulhak Abdurahman's Projects
This is the implementation of DenseNet121 using Keras version 2 which is updated from the repo from here https://github.com/flyyufelix/DenseNet-Keras
A Blockchain based 5G V2X communication platform in which the main entities in 5G V2X communication including the 5G core network, the Public Key Infrastructure, the ITS-Station (vehicles, pedestrians, road side units and other authorities on the road) are integrated in a decentralized and interoperable manner.manner
implementation of different LSTM models including Encoder-Decoder based approaches for Rainfall-Runoff Modeling for Awash River in Ethiopia.
Profile
In this project we tried to develop a stylegan2 based Ethiopian "Habesha Kemis" Design which synthesize designs of Ethiopian cultural dress.
I have prepared this dataset by collecting the handwriting of individuals from different perspectives meaning different age ranges, level of education and right and left handed persons. I given them a form prepared to take their handwriting and I developed an algorithm to crop individual characters after scanned copy is given for the algorithm. The size is 28 x 28. It includes the 34 base characters.
Handwritten-Amharic-Character-Recognition-system
This repository provides the code we have been using during our project development for Amharic language Word level text recognition using diffrent deep learning models. The code is provided as jupyter nootebook file and you can run it on google colab with GPU seeting on. The provided gode is very helpful for other HRTR and OCR researchers.
This repository demonstrates how to add organizations and create two channels by using hyperledger fabric test network.
Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
This dataset is a collection of microscopic images of infected and uninfected slide images taken using phone camera conected to the eyepiece of microscope. The datset is used to train machine learning algorithms for automated point of care diagnosis of malaria.
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Visualizer for neural network, deep learning, and machine learning models
A vision library for performing sliced inference on large images/small objects
Build a Jekyll blog in minutes, without touching the command line.
YOLOv4 Implemented in Tensorflow 2.
A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
Yolo to COCO annotation format converter
A Python wrapper on Darknet. Compatible with YOLO V3.
This repository contains an implementation of YOLOV3 models to be deployed on Android based mobile devices.
React
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Django
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Alibaba
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Tencent