Cataract detection model

🧠 A convolutional neural network library written in python with only numpy

River ice segmentation with deep learning

Automated White Matter Hyperintensities (WMH) segmentation using Dense U-Net for improved MRI analysis in neurodegenerative disease research

In this project, we introduce a deep learning-based model for predicting age from 12-lead ECG data.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future

the implementation of the ASAD_DenseNet

Notebooks and references for the submission to SnakeCLEF, 2021 edition.

x ray lung images classification

Repository containing Code and other materials for the Research Project on Rock Type Classification

A Comprehensive Analysis Framework for Material Thickness Estimation Using TOF Data

Alzheimers Detection using MRI Scans 🏥

The model is used to detect rice leaf diseases and analyze their percentage

Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A Combined ResNet-DenseNet Architecture with ResU Blocks (ResU-Dense) for 12-lead ECG Abnormality Classification

Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121

Implementaiton of BSC-Densenet-121 in Pytorch from research paper "Adding Binary Search Connections to Improve DenseNet Performance".

AI Based Plant Leaf Disease Detection System Using Flask Backend