abc0217 Goto Github PK

abc0217

Config files for my GitHub profile.

afro-chest-x-ray

Chest X-ray Imaging Dataset for Multiple Cardio-respiratory Diseases in Ethiopia

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

breast-cancer-classification

This project is to show how to use CNN to classify scanned film mammography images. The original dataset is over 2600 breast images.

cam

Class Activation Mapping

captum

Model interpretability and understanding for PyTorch

covid-19-detection-lime

COVID-19 detection in x-ray images using LIME explanations and deep learning

covid-cxr

Neural network model for classifying chest X-rays by presence of COVID-19 features

covid-detection-using-xai

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.

deep-learning-project

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.

deepworks

A collection of Deep Learning projects and resources

dry-bean-classification-best

Machine learning Classification problem to classify 7 types of dry beans based on morphological features only using different classifiers and a voting classifier.

dry-bean-classification-using-machinelearning

drybeanclassification

Thesis for my Diploma in ML and AI at UoH My

ensemble-of-cnn-and-vit-for-tb-detection-in-lateral-cxr

An ensemble of convolutional neural network and vision transformer models to improve TB detection in lateral chest radiographs

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fertilizer-prediction

Predicting the type of fertilizer to be used depending on the crop type and soil type

geonode

GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.

grad-cam

grad-cam-1

:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

grad-cam-2

[ICCV 2017] Torch code for Grad-CAM

harvestify

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

hello-world

This is My repository for Github

house-rent-prediction

interpret

Fit interpretable models. Explain blackbox machine learning.

interpreting-machine-learning-models

Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc

keras-grad-cam

An implementation of Grad-CAM with keras

leaf-image-classification

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

Lime: Explaining the predictions of any machine learning classifier