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Name: Seid Nurhussen
Type: User
Name: Seid Nurhussen
Type: User
Config files for my GitHub profile.
Chest X-ray Imaging Dataset for Multiple Cardio-respiratory Diseases in Ethiopia
A curated list of awesome machine learning interpretability resources.
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
This project is to show how to use CNN to classify scanned film mammography images. The original dataset is over 2600 breast images.
Class Activation Mapping
Model interpretability and understanding for PyTorch
COVID-19 detection in x-ray images using LIME explanations and deep learning
Neural network model for classifying chest X-rays by presence of COVID-19 features
CNN architectures Resnet-50 and InceptionV3 have been used to detect whether the CT scan images is covid affected or not and prediction is validated using explainable AI frameworks LIME and GradCAM.
The coffee bean classification problem aims to develop a model that accurately classifies different types of coffee beans based on input images. The goal is to create a robust and versatile system capable of distinguishing between various coffee bean classes, considering factors such as color, shape, texture, and other relevant visual features.
A collection of Deep Learning projects and resources
Machine learning Classification problem to classify 7 types of dry beans based on morphological features only using different classifiers and a voting classifier.
Thesis for my Diploma in ML and AI at UoH My
An ensemble of convolutional neural network and vision transformer models to improve TB detection in lateral chest radiographs
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Predicting the type of fertilizer to be used depending on the crop type and soil type
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
[ICCV 2017] Torch code for Grad-CAM
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
This is My repository for Github
Fit interpretable models. Explain blackbox machine learning.
Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
An implementation of Grad-CAM with keras
Identification of plants by analyzing their leaves using digital image processing techniques which involves examining and extracting various morphological features such as shape, color, and texture. This approach influences technology to automate and streamline the identification process.
Lime: Explaining the predictions of any machine learning classifier
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.