Training pipeline for alzheimers classification with custom built EfficientNet and ResNeXt models.

Implementation of SE-ResNet, SE-ResNeXt and SE-InceptionV3 from scratch and comparison of the results obtained for CIFAR-10, CIFAR-100 and Tiny ImageNet with the original paper.

Convnets for CIFAR-10 implemented in Chainer

Cdiscount Image Classification Challenge on kaggle.com

Docker-ized server to digitize physical chess boards and return the next best move

Course Project for ECE 285 Special Topics in Robotics : Machine Learning for Image Processing, taken during Fall 2019

PetFinder.my - Pawpularity Contest 13/3537 solution

Neural networks for image classification

This is the Pytorch implementation of the paper in Journal of Periodontology "Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination". https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.21-0492

DeepFake Detection Web-App[Mirage Breaker] 🖥 using Deep Learning(ResNext and LSTM), Flask and ReactJs where you can predict whether a video is FAKE Or REAL along with the confidence ratio.

Colorectal Disease Classification Using ResNet and ResNeXt

Reimplementations of various computer vision papers in pytorch

Deep Learning Models written in Tensorflow

This repository contains implementations of Squeeze and excitation networks on ResNet, ResNeXt, and InceptionV3 models. More detail in the report.

Implementation of SE-ResNet models and other SE-Nets

ResNet ver TorchVision for Tensorflow2

InClass Prediction Competition by Cyber Labs hosted on Kaggle

This projects aims in detection of video deepfakes using deep learning techniques like ResNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained ResNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.

tf-keras-implemented YOLOv2