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adversarialattack

FGSM, DeepFool and CW Attack Implementation with TensorFlow 2.0

ai4food-nutritiondb

This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.

cond-pgan

context-gated-convolution

Implementation for Context-Gated Convolution

convolution-neural-networks-made-easy-with-keras

Introduction to convolution neural networks

danet-keras

keras-Dual Attention Network for Scene Segmentation

deepfake-detection

[CVPR2022] End-to-End Reconstruction-Classification Learning for Face Forgery Detection

deepfakedetection_lime_gradcam

Course Project of ECE 792 : Advanced Machine Learning

dfnet_tf2

Deep Fusion Network for Image Completion (TensorFlow 2)

egocentric-gaze-prediction

Code for the paper "Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition"

emotion

Emotion Detection in PyTorch

face-recognition

face-skin-hair-segmentaiton-and-skin-color-evaluation

segmentation and color classification

facial-expression-keras

The aim of this project is to recognize facial expression from a video streaming by using deep learning.

fingerprint_denoising

gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

gated-convolutional-networks

A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

generative-models

my playground for generative modeling

hypergraphs-image-inpainting

(WACV 2021) Hyperrealistic Image Inpainting with Hypergraphs

image-segmentation-by-keras

Clone and modify based on https://github.com/divamgupta/image-segmentation-keras

image-segmentation-keras-py3

Implementation of Segnet, FCN, UNet and other models in Keras. (Python 3)

inpainting-evaluation-metrics

The goal of this repo is to provide a common evaluation script for image inpainting tasks. It contains some commonly used image quality metrics for inpainting (e.g., L1, L2, SSIM, PSNR and LPIPS).

inpainting-gmcnn-keras

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

inpainting-keras

Implement Inpainting techniques in Keras using Tensorflow

keras-face-attribute-manipulation

Implementation of https://arxiv.org/abs/1612.05363 with keras

keras_layers

Various Additional Keras Layers: SparseConv2D, PartialConv2D, GroupConv2D, DeformableConv2D, DepthwiseConv2D, MaxPoolingWithArgmax2D, MaxUnpooling2D, AddCoords2D, Blur2D, LayerNormalization, WeightNormalization, Scale

label_yt_videos

Trained an agent (PyTorch & Keras) to label a genre (E.g., Makeup, Games, Art & Entertainment, etc.) on a youtube video (audio & rgb) using a series of deep learning algorithms and compare each one to understand their strengths and weaknesses, and scalability properties.

laploss

Laplacian Pyramid Loss

learnopencv

Learn OpenCV : C++ and Python Examples