bobosui's repositories
SUTDAnnotator
YEDDA: A Lightweight Collaborative Text Span Annotation Tool
chatterbot-corpus
A multilingual dialog corpus
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
deepfakes_faceswap
from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/
LSTM-CRF-medical
构建医疗实体识别的模型，包含词典和语料标注，基于python构建
insuranceqa-corpus-zh
OpenData in insurance area for Machine Learning Tasks
biomed
Scripts and data for a sample GRAKN.AI graph.
pydelo
自动化上线部署系统
kimai
Kimai open source time tracking
schulte
Schulte Tables
Card-Ocr
身份证识别OCR
urule_springboot
春天的皮鞋之你的规则
slot_filling_intent_joint_model
attention based joint model for intent detection and slot filling
DEVSimPy
Python-based GUI for DEVS-based discrete event system simulation
pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
MemLite
A fast, pure-Python, untyped, in-memory database engine, using Python syntax to manage data, instead of SQL, inspired by PyDbLite.
PyNeurGen
Python Neural Genetic Algorithm Hybrids (PyNeurGen) - GitHub Fork
KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
openemr
OpenEMR is the most popular open source electronic health records and medical practice management solution. ONC certified with international usage, OpenEMR's goal is a superior alternative to its proprietary counterparts.
SoDiaoEditor.v2
SoDiaoEditor电子病历编辑器，EMR Editor
keras-SRU
Implementation of Simple Recurrent Unit in Keras
dict_build
自动构建中文词库：http://www.matrix67.com/blog/archives/5044
LibreEHR
LibreHealth EHR - Free Open Source Electronic Health Records based on OpenEMR
Keshif
Keshif - Data Made Explorable (Prototype)
LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Gooflow
这是一个用来在WEB网页端设计流程图的UI组件，基于Jquery开发。可用来设计各种流程图、逻辑流图，数据流图，或者是设计某个系统中需要走流程的功能应用。良好的用户体验使得操作界面很容易上手，技术开发人员和用户都可使用。 并且兼容主流浏览器(ie8--ie edge，chrome，firefox)。
keyword_spotting
Chinese keyword spotting model using LSTM RNN