image-net

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Attention Branch Network demonstration

tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.

Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification

This repository contains code for an image classification project that focuses on classifying 70 different dog breeds. The project was developed as a final project for Deep Learning school, aiming to demonstrate the application of deep learning techniques for multi-class classification tasks.

Simple classification script that uses VGG16. Learned on image-net

CNN Implementation and optimization in comparison to Image-Net Pre-trained on CIFAR-10 Dataset Image Classification

Forecasting with time series imaging

In this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.