Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

Skin Lesion Analysis Towards Melanoma Detection

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

Classification of brain tumor in MR images using deep spatiospatial models.

Build a image classification python web app with Streamlit and PyTorch 🐱 🐶

Models for Computer Vision

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers …

GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564

Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.

Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf

Image classification using satellite imagery.

For questions please contact: shohruh.maxmudov@mail.ru

Binary classifier of melanoma

Knowledge distillation pytorch lightning template for image classification task

Implementation of Min-Max CNN for Image Classification in Pytorch

This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.

Semantic Segmentation with Segformers

Aalto University CS-E4890 Deep Learning Project: Landmark Classification From Images Using Convolutional Deep Neural Networks

Vancouver School of AI - Image Classification