zongmingshu Goto Github PK

56wlk

ab-lstm

AB-LSTM: Attention-Based Bidirectional LSTM Model for Scene Text Detection

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

androbugs_framework

AndroBugs Framework is an efficient Android vulnerability scanner that helps developers or hackers find potential security vulnerabilities in Android applications. No need to install on Windows.

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert-whitening

简单的向量白化改善句向量质量

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

chinese-corpus

中文单/多轮对话语料库

chinese-electra

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

chinesener

A neural network model for Chinese named entity recognition

cnn_sentence

My version of CNNs for sentence classification

coda

Samsung Natural Language Processing Pipeline (basically for Russian language): morphology, dependency parser and much more

compilerfront

compiling & parsing

cppjieba

"结巴"中文分词的C++版本

crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

ctbparser

ctbparser是一个用C++语言实现的开源的中文处理工具包（GBK编码），用于分词、词性标注、依存句法分析，采用的是中文宾州树库(Chinese Tree Bank, CTB)标准。

database

B+tree database

datacon

:trophy:DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

dependency-parser

Neural graph-based dependency parser

dependency_parsing_tf

Tensorflow implementation of "A Fast and Accurate Dependency Parser using Neural Networks"

dianjing

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

diffusion-models

扩散模型原理和pytorch代码实现初学资料汇总

doccano

Open source text annotation tool for machine learning practitioner.

dstc8-schema-guided-dialogue

The Schema-Guided Dialogue Dataset