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Edward Cheng's Projects

map-reduce-bmh icon map-reduce-bmh

Ben Will and Spencer toying on the amazon's hadoop implementation to play with concepts in the mining of massive datasets book (http://infolab.stanford.edu/~ullman/mmds.html).

mapedit icon mapedit

Interactive editing of spatial data in R

mapview icon mapview

Interactive viewing of spatial data in R

marketing-app icon marketing-app

a marketing app associated with recommendations by machine learning models

marlo icon marlo

Multi Agent Reinforcement Learning using MalmÖ

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

master-pytorch icon master-pytorch

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

matchzoo icon matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

matlab icon matlab

MATLAB tutorial and MATLAB code.

matlab-app-designer-gui icon matlab-app-designer-gui

Created by Kennet Thurman using Matlab Mathworks software. The GUI utilizes Bluetooth communication, real-time graphing, switches, and gauges to monitor a microgrids power, voltage, and current.

matlab-projects-and-assignments icon matlab-projects-and-assignments

This repository contains MATLAB related files. Here programming files is available from basic level to some advance level. Including that, two project implemented on MATLAB is also included.

mecab-chinese icon mecab-chinese

Chinese morphological analysis with Word Segment and POS Tagging data for MeCab

medical-entity-recognition icon medical-entity-recognition

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

medical-named-entity-recognition icon medical-named-entity-recognition

本项目是针对医疗数据,进行命名实体识别。项目中有600份标注好的电子病历文本,共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。

medical-transformer icon medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

medicalnamedentityrecognition icon medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

medicalner icon medicalner

An implementation of several models (BiLSTM-CRF, BiLSTM-CNN, BiLSTM-BiLSTM) for Medical Named Entity Recognition (NER)

medicalnet icon medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medicalzoopytorch icon medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

medtagger icon medtagger

A collaborative framework for annotating medical datasets.

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