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100-days-of-ml

A day to day plan for this challenge (100 Days of Machine Learning) . Covers both theoretical and practical aspects

a_guide_to_running_tensorflow_models_on_android

This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube

adversarial-attacks-with-relativistic-advgan

Using relativism to improve GAN-based Adversarial Attacks. 🦾

adversarial-lesions

[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning

adversarial-medicine

Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"

adversarial_examples_gans

Review and analysis of selected adversarial attacks

asg

asg1

attendace_management_system

In this system we can fill attendance by face recognition

attgan-pytorch

AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want

attgan-tensorflow

AttGAN Tensorflow, AttGAN: Facial Attribute Editing by Only Changing What You Want

beating-melanoma

We propose a deep-learning system for melanoma detection from dermoscopic images that relies on smart data augmentation.

bias-correction-generative

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

bilal841.github.io

changing-the-memorability

Supporting code to the paper "Changing the Image Memorability: From Basic Photo Editing to GAN"

cmu_10-715_f2017

Carnegie Mellon's 10-715: Advanced Introduction to Machine Learning

cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

cond-pgan

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep-learning-coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

dense-gans

Implementation of DenseGANs for Melanoma segmentation map creation.

dnnordermatologist

Supporting code for Deep Neural Network or Dermatologist?

ee368_final_project

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-1

Tooling for GANs in TensorFlow

gan-skin-lesion

ganmole

This code uses a Generative Adversarial Network (GAN) to generate melanoma images using Keras

gans_melanoma

generativeskinlesion

PyTorch implementation of Progressive of GANs for augmenting skin lesion dataset