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algorithmic-trading

Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-denoise

Awesome Denoising papers w/o code

awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

captcha-tensorflow

Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+

cgp-cnn

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

cgp-cnn-pytorch

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

codes

concrete-crack-detection

Crack detection for an autonomous UAV

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

craft-reimplementation

CRAFT-Pyotorch：Character Region Awareness for Text Detection Reimplementation for Pytorch

crnn.pytorch

Convolutional recurrent network in pytorch

crnn_ctc_ocr.tensorflow

Extremely simple implement for CRNN by Tensorflow

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-neuroevolution

Deep Neuroevolution

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

ea-cnn

This is the code for the paper of "Completely automated CNN architecture design based on blocks"

easiest-srgan-demo

最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示

east

A tensorflow implementation of EAST text detector

edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

generative_inpainting

Generative Image Inpainting with Contextual Attention, CVPR 2018