[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
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
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.
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%.
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