I will share about Machine Learning and Deep Learning.

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

To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.

Skin Lesion Analysis Towards Melanoma Detection

A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.

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.

The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding boxes, 2. Recording and displaying the Start time and end time of the match, 3. Displaying the number of hits made by each player , 4. Displaying the number of out of the boundary hits (AWAYs) made by each pla…

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

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 …

Models for Computer Vision

This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.

American Sign Language to English real time Conversion App

WasteEasy is an app designed to streamline waste management. Developed during the Envision Hackathon, it focuses on waste classification and encourages proper waste segregation. Users can earn points or coupons by utilizing WasteEasy for their waste disposal needs.

Aplikasi deteksi penyakit kulit menggunakan AI. Dibuat untuk menyelesaikan Tugas Akhir AI Mastery Program Orbit Future Academy X SIB Kampus Merdeka 2022.

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

Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial

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

PyTorch Global Summer Hackathon 2020 Second Prize Winner in Mobile/Web Application Category

Image Classification Model