HuiZhang's repositories
finance-spyder
A spyder to get financial news
algorithms
Minimal examples of data structures and algorithms in Python
conv-ensemble-str
The code for “Attention and Language Ensemble for Scene Text Recognition with Convolutional Sequence Modeling”
darknet
Convolutional Neural Networks
Deep-Image-Matting
Deep Image Matting
im2latex
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
labelme
Image Polygonal Annotation with Python (polygon, rectangle, line, point and image-level flag annotation).
MachineLearning
Basic Machine Learning and Deep Learning
models
Models and examples built with TensorFlow
my_seq2seq
My seq2seq based on tensorflow
pixel_link
Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
RNN-Transducer
MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
seglink
An Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
single-shot-str
Single Shot Scene Text Retrieval, ECCV 2018. L. Gomez*, A. Mafla*, M. Rusiñol, D. Karatzas.
speech
A PyTorch Implementation of End-to-End Models for Speech-to-Text
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-in-depth
The repo of TensorFlow In Depth(2018).
tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
tf-text-classification
CNN and RNN with Attention for Chinese Text Classification in Tensorflow
tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
vim
vim configure copy file
YOLOv3_PyTorch
Full implementation of YOLOv3 in PyTorch
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.