The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Sign Language Recognition

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

The Multimodal Model for Vietnamese Visual Question Answering (ViVQA)

This project aims to improve early lung cancer detection using deep learning. It utilizes a pretrained EfficientNet model to classify histopathological lung images, and a Gradio interface for real-time predictions.

HMS - Harmful Brain Activity Classification. Utilizing electroencephalography (EEG) signals, this repository aims to detect, classify, and analyze seizures as well as other forms of harmful brain activity.

Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.

Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.

PyTorch Volume Models for 3D data

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

Animal Image Classification

Projekt u sklopu predmeta Analiza slika u biomedicini

EfficientNet-Based Classification of the Food101 Dataset

Insightface Keras implementation

Based on my published research paper, this project uses a "One-vs-All" deep learning approach with EfficientNet B4 to classify cassava leaf diseases. Integrated into an Android app, it helps farmers detect diseases early, supporting sustainable farming and reducing crop losses.

This is a Major Project undertaken for the fulfillment of a Bachelors Degree in Computer Engineering where People can interact with their computer devices using gestures

Python toolkit for speech processing

A comparative analysis of deep learning algorithms for multi label image classification using microscopic images.

Reimplementations of various computer vision papers in pytorch

Mobile application developed for detecting quality of fruits.