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adv_defense_decoy

This is the official pytorch implementation of paper "Jointly Defending DeepFake Manipulation and Adversarial Attack using Decoy Mechanism", IEEE T-PAMI 2023.

adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

basicsr

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

caffe

Caffe: a fast open framework for deep learning.

caffe-jess

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

ccat-ct-detection

Convolutional Transformer for CT Scan Classification

cnn_baseline

VGG, DenseNet, ResNet in Tensorflow

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

ct-covid19-classification

dataregressionmodel

dcsn

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite

deep-wilcoxon-signed-rank-test-for-covid-19-classfication

deepedge

dilatedgt_deeplabv3

example-based-super-resolution

Automatically exported from code.google.com/p/example-based-super-resolution

fake-face-images-detection-tensorflow

Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.

fast-rcnn

Fast R-CNN

faster_rcnn

Faster R-CNN

imagenet_id_remapper

Reassign new ID for imagenet (ilsvrc12) for torchvision models...

large-scale-image-clustering

large-scale-image-clustering-feature-drifting

lqsr

Learning-based joint super-resolution and deblocking for a highly compressed image

m2det

Forked from https://github.com/qijiezhao/M2Det

machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

overfeat

plotneuralnet

Latex code for making neural networks diagrams