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adversarialnetspapers

The classical papers and codes about generative adversarial nets

ali

Adversarially Learned Inference

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

augmented_cyclegan

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-deep-learning-papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome_tensorflow_implementations

big_vision

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

bigan

code for "Adversarial Feature Learning"

biqa_toolbox

A benchmark implementation of representative deep BIQA models

blind_image_quality_toolbox

Collection of Blind Image Quality Metrics in Matlab

brain_segmentation

capsnet_tensorflow

cardiac-segmentation

Convolutional Neural Networks for Cardiac Segmentation

ceiq

:art: Code for "No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement" by J. Yan, J. Li, X. Fu

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cnn-benchmarks

Benchmarks for popular CNN models

compare_gan

Compare GAN code.

conditional_inns

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-dl

Script for downloading Coursera.org videos and naming them.

crelu

simple experiments to reproduce the CReLU paper

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cvpr-2019-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

cvpr2015