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ag-cnn

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

autoencoderbasedsteganography

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

balanced_mixup

Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

build-basic-generative-adversarial-networks-gans

Notebook 1 : Goal In this notebook, you're going to create your first generative adversarial network (GAN) for this course! Specifically, you will build and train a GAN that can generate hand-written images of digits (0-9). You will be using PyTorch in this specialization, so if you're not familiar with this framework, you may find the PyTorch documentation useful. The hints will also often include links to relevant documentation. Learning Objectives Build the generator and discriminator components of a GAN from scratch. Create generator and discriminator loss functions. Train your GAN and visualize the generated images.

chegg-answers

chexnet

A pytorch reimplementation of CheXNet

chrome-extension-got

GAME OF TENNIS

coding-interview-university

A complete computer science study plan to become a software engineer.

creating-webmap-with-python-and-folium

Python & Folium

deeplearning

deeplearning_andrewng

Exercises for Andrew Ng's Deep Learning Coursera

detrac_covid19

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dsst

in progress

game-of-tennis

Arcade classic game of tennis using javascript and HTML5 canvas

go

The Open Source Data Science Masters

google-research

Google Research

graphical_user_authentication

handson

Contains the code for different hands on demontrated.

image-colorization

Image Colorization using GANs, written in Pytorch

imagenet21k

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

inventory

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

learn2learn

A PyTorch Library for Meta-learning Research

lime

Lime: Explaining the predictions of any machine learning classifier

livetwittersentimentanalysis

Twitter live Sentiment Analysis helps us map the positive and the negative sentiments of tweets in real time.

lizard-torch-course

These are notebooks I wrote following the course Neural Network Programming - Deep Learning with PyTorch by deeplizard.