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Deshawn Nienow's Projects

mip_encoding icon mip_encoding

Motion Interchange Patterns for Action Recognition in Unconstrained Videos

msifromhe icon msifromhe

predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer

ner_demo icon ner_demo

中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。

netron icon netron

Visualizer for neural network, deep learning and machine learning models

nturgb-d icon nturgb-d

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

nypython icon nypython

Python写的一些小工具---验证码识别,词频统计,网易云阅读,LBP人脸识别,免费代理IP,抓包工具嗅探器,文本分类

ocrcn_tf2 icon ocrcn_tf2

TensorFlow2.0的中文汉字手写体识别!OCR必备,欢迎star!

onenet icon onenet

OneNet: End-to-End One-Stage Object Detection

p-cnn icon p-cnn

P-CNN: Pose-based CNN Features for Action Recognition

paddle-yolov4 icon paddle-yolov4

Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。

paddlenlp icon paddlenlp

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

paddleocr icon paddleocr

OCR toolkit based on PaddlePaddle (基于飞桨的OCR工具库,包含总模型仅8.6M的超轻量级中文OCR,同时支持多种文本检测、文本识别的训练算法。)

pick-pytorch icon pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

porpoise icon porpoise

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prmlt icon prmlt

Pattern Recognition and Machine Learning Toolbox

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

scnn icon scnn

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

sea-thru icon sea-thru

Implementation of Sea-thru by Derya Akkaynak and Tali Treibitz

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