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deepfake_in_the_wild

deepfake dataset collected on the web for deepfake detection

deepfakes-1

This is the code for "DeepFakes" by Siraj Raval on Youtube

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

dfl-colab

DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

easy_deepfakes_gui

election

esgr

The source code for BMVC 2018 paper - Exemplar-Supported Generative Reproduction for Class Incremental Learning

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

faceswap-deepfake-pytorch

Faceswap with Pytorch or DeepFake with Pytorch

feature-selection-using-hybridised-whale-optimization-technique

finefacultyfinder

free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

generate-faces

Generated faces from a pair of multi-layer neural networks generator and discriminator that compete against each other until one learns to generate realistic images of faces using CelebFaces Attributes (CelebA) dataset.

genetic-algorithm-

genetic-algorithm-image

Image replication using a genetic algorithm

groclistapp

hackerrank

Solutions of the problems which are in hackerrank.com

hands-on-machine-learning

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

hybridized-harris-hawk-whale-optimization-algorithm

Uses Harris Hawk and Whale Nature Inspired Algorithm to Train the weights of Neural Network. An approach to adjust the parameters of NN connection weights using the hybrid of Harris Hawk Optimization and Whale Optimization algorithm was proposed. The results showed that the hybrid algorithm has been successfully applied to train neural networks. The results showed that there is no superiority of one algorithm over another, however, the results of the proposed algorithm are a competitive alternative to other P-Metaheuristic algorithms. Hybrid Harris Hawk with Whale optimization to train weights of the neural network was used to increase the efficiency of fraud detection and cancer datasets. Our method for anomaly detection is a supervised method based on classification. The performance of Harris Hawk with Whale is acceptable and has promising results that nominate it for other optimization applications such as scheduling.

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

icarl

icml-nips-iclr-dataset

Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021

image-captioning

Combined CNN and RNN to build a deep learning model which produces captions for given input image. CNN transforms an input image into a set of features and RNN that turns features into the rich language.

image-predictor-using-resnet50

Image Predictor

interview

Interview questions

java-design-patterns

Design patterns implemented in Java

keras-gan

Keras implementations of Generative Adversarial Networks.

knn-defense

Adversarial Examples on KNN (and its neural network friends)

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe