An API to better understand and visualize the inner workings of a CNN with GradCam; currently MobileNet

Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.

This repository consists of models of CNN for classifying different types of charts. Moreover, it also includes script of fine-tuned VGG16 for this task. On top of that CradCAM implementation of fine-tuned VGG16.

A simple implementation of GradCAM (Gradient-weighted Class Activation Mapping) using PyTorch and OpenCV.

CIFAR10 image recognition using ResNet architecture, Gradcam images

AI-powered multimodal clinical diagnosis system — Pneumonia detection (ResNet-50, 98%), Brain Tumor classification (EfficientNet-B3, 94.75%), Diabetes risk prediction (MLP) with Grad-CAM explainability, PDF reports & MongoDB.

Projet de détection automatique de la présence d’un kart dans des images et des vidéos, basé sur un réseau de neurones convolutif (ConvNeXt), avec explicabilité (Grad-CAM) et déploiement via Streamlit + MLflow.

Ensemble-based breast cancer detection using EfficientNet and ResNet with FastAPI and explainable AI

This application is a deep learning-based system for classifying histopathology images of lung and colon tissues into five distinct categories

A simple implementation of GradCAM (Gradient-weighted Class Activation Mapping) using TensorFlow and OpenCV.

딥러닝으로 진행한 프로젝트에 LLM을 접목시켜 고도화시키고 Gradio로 구현하는 프로젝트