sunxingxingtf Goto Github PK

squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

ssd-plate_detection

SSD-based plate detection

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd_keras

Port of Single Shot MultiBox Detector to Keras

ssd_tensorflow

SSD implementation in development in TensorFlow

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

staple

Code for the tracker described in the CVPR16 paper "Staple: Complementary Learners for Real-Time Tracking"

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stela

Scene Text Detection with Learned Anchor

stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stochastic-quasi-newton

modular implementation of new algorithm

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

super-resolution-using-generative-adversarial-networks

An implementation of SRGAN model in Keras

superviseddescent

C++11 implementation of the supervised descent optimisation method

supervision-by-registration

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

svd-golub-kahan

Singular Value computation using Golub-Kahan method

swarm

Swarm: a Docker-native clustering system

swarm-exec

Swarm Executor : Execute any docker command across swarm cluster

switch_networks

synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

synthtext_chinese_version

Modify from https://github.com/ankush-me/SynthText.git to generate chinese character

synthtiger

Official implementation of SynthTIGER (Synthetic Text Image GEneratoR) ICDAR 2021

tabeldetection

Using deep-leaning detect tables in the documet image

table-detect

table detect(yolo) , table line(unet)

table-detection-extraction

Detect the tables in a form and extract the tables as well as the cells of the tables.

table-ocr

Recognize tables from images and restore them into word.

table-ocr-1

table-pretraining

ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

table-transformer

Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.