HongyanJiao's starred repositories

fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

google-research

Google Research

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:33626Issues:748Issues:1226

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Language:PythonLicense:Apache-2.0Stargazers:7484Issues:178Issues:368

RSPapers

A Curated List of Must-read Papers on Recommender System.

schemaorg

Schema.org - schemas and supporting software

Language:HTMLLicense:Apache-2.0Stargazers:5334Issues:407Issues:2212

stopwords

中文常用停用词表(哈工大停用词表、百度停用词表等)

CLUEDatasetSearch

搜索所有中文NLP数据集,附常用英文NLP数据集

LASER

Language-Agnostic SEntence Representations

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:3568Issues:90Issues:210

LatticeLSTM

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

Recognizers-Text

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

CLUENER2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

DeepRec

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Language:C++License:Apache-2.0Stargazers:1012Issues:34Issues:123

DDParser

百度开源的依存句法分析系统

Language:PythonLicense:Apache-2.0Stargazers:973Issues:24Issues:73

MiNLP

XiaoMi Natural Language Processing Toolkits

Language:ScalaLicense:Apache-2.0Stargazers:781Issues:28Issues:57

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Language:PythonLicense:MITStargazers:687Issues:15Issues:18

Feature-Selection

Features selector based on the self selected-algorithm, loss function and validation method

Language:PythonLicense:MITStargazers:671Issues:23Issues:13

NeuroNLP2

Deep neural models for core NLP tasks (Pytorch version)

Language:PythonLicense:GPL-3.0Stargazers:441Issues:21Issues:44

python-packaging

Tutorial on how to structure Python packages

LexiconAugmentedNER

Reject complicated operations for incorporating lexicon for Chinese NER.

slot_filling_and_intent_detection_of_SLU

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

Language:PythonLicense:Apache-2.0Stargazers:392Issues:17Issues:9

SlotGated-SLU

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

EMPaper

This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.

berkeleyparser

Automatically exported from code.google.com/p/berkeleyparser

Language:JavaLicense:GPL-2.0Stargazers:180Issues:8Issues:8

LAL-Parser

Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.

crfpar

[ACL'20, IJCAI'20] Code for "Efficient Second-Order TreeCRF for Neural Dependency Parsing" and "Fast and Accurate Neural CRF Constituency Parsing".

Language:PythonLicense:MITStargazers:76Issues:3Issues:9

distance-parser

Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018

jarvis

Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.