yingning Goto Github PK

bgslibrary

A background subtraction library

biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

binarization_2017

bingobjectness

BING Objectness proposal estimator Matlab wrapper. More in http://mmcheng.net/bing/

bytenet-tensorflow

ByteNet for character-level language modelling

caffe-tensorflow

Caffe models in TensorFlow

caserel

computer-aided segmentation of retinal layers in OCT images

ccks2018summary

self summary after attending 2018全国知识图谱与语义计算大会，China Conference on Knowledge Graph and Semantic Computing

cell-segmentation

Implementation of U-Net paper for cell image segmentation

cell-segmentation-1

Automated identification of cell boundaries from the pathological video data

chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

cnn-lstm-ctc-text-recognition

CNN and LSTM model for text recognition

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

coco-text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

cocoapi

COCO API - Dataset @ http://cocodataset.org/

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

complexeventextraction

A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。

computervision

Best Practices, code samples, and documentation for Computer Vision.

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn.pytorch

Convolutional recurrent network in pytorch

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs224n-winter-together

an Open Course Platform for Stanford CS224n (2020 Winter)

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

data-argumentation-for-obj-detection-repl

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

deep-visualization-toolbox

DeepVis Toolbox

deepdive

DeepDive

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deeplearningbook-chinese

Deep Learning Book Chinese Translation