Deep Learning Coursera by Andrew Ng,Deeplearning.ai

Evaluation of DCGAN

This repository is created for our final year research project

Deep Learning repository for all DL projects

Udacity Deep Learning Nanodegree, Project #2 CNN Dog Breed Classifier

Udacity's Robotics Software Engineer Term 1 Final Project - Follow Me

The code for Task 3 of the ISIC2018 Deep Learning challenge with the following goal: “Submit automated predictions of disease classification within dermoscopic images” and therefore is a great testbed to measure the performance of different CNN architectures."

This project utilizes the original paper of Neural Style Transfer "A Neural Algorithm of Artistic Style" by Leon Gatys et al. We used the VGG-19 model and made changes in the implementation which have resulted in better results. Streamlit was used to deploy this app.

Scene Recognition using CNN, Fine Tuning a Pre-Trained Deep Network: Alexnet and VGG16

Deep convolutional network for saliency prediction, implemented by PyTorch

Reinforcement Learning for Sudoku

Human Data Analytics Course Project

Deep Convolutional Generative Adversarial Networks (DCGANs) to generate synthetic images of Bengali handwritten digits

Pytorch implementations of each of the models described in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan, Andrew Zisserman

Repository for MAD-GAN Paper done in ML CAMP Jeju

Deep Convolutional GAN implementation using pytorch on MNIST dataset.

VDSR implementation in tensorflow using tf dataset api

A deep convolutional Generative Adversarial Network with the MNIST dataset.

Simple Artificial Neural Network tool written in python3 - Tensorflow