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warp-ctc

Fast parallel CTC.

water-meter-number-dataset

The water-meter images are captured by camera and labeled with water-meter number, for the research of the water-meter image recognition.

wavenet

Keras WaveNet implementation

wdsr_ntire2018

Code of our winning entry to NTIRE 2018 super-resolution challenge, CVPR Workshop 2018

weasis

Weasis is a DICOM viewer available as a desktop application or as a web-based application.

weasis-dicom-tools

Basic dicom API

weasis-i18n

Weasis internationalization

weasis-isowriter

Export DICOMs (and JPEG) and Weasis viewer into iso9660 image

weasis-pacs-connector

Connect Weasis to any PACS supporting WADO

webdataproduct

A Web Page Of Public Sentiment For P2P Industry( P2P 行业的舆情分析前端展示)

weibo_terminater

Final Weibo Crawler Scrap Anything From Weibo, comments, weibo contents, followers, anythings. The Terminator

weixinbot

网页版微信API，包含终端版微信及微信机器人

wfdb-python

Native Python WFDB package

what-ai-can-do-for-you

Breakthrough AI Papers and CODE for Any Industry.

wiki

wikiextractor

A tool for extracting plain text from Wikipedia dumps

wikisql

A large annotated semantic parsing corpus for developing natural language interfaces.

wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.

wireframe

wonderful-slides

My collection of wonderful slides/materials

wpal-network

Weakly-supervised Pedestrian Attribute Localization Network (WPAL-network).

wtf

WechaT Framework

wuyuehua

x-ray-classification

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xvision

Chest Xray image analysis using Deep learning !

yolo-lite

All the trained models used while developing YOLO-LITE

yolo3-4-py

A Python wrapper on Darknet. Compatible with YOLO V3.

yolov3-model-pruning

对 YOLOv3 做模型剪枝，在 oxford hand 数据集上模型的参数量减少 80% ，FLOPs 降低 70%，Infer 的速度可以达到原来的 200%，mAP 基本保持不变

yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2