ChenglongChen

kaggle-CrowdFlower

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

kaggle-HomeDepot

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

tensorflow-XNN

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

tensorflow-DSMM

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

LeetCode-3

:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions

tensorflow-ASP-MTL

A Tensorflow implementation of Adversarial Shared-Private Model for Multi-Task Learning and Transfer Learning.

Long-Capital

Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)

tensorflow-DTN

A Tensorflow implementation of Domain Transfer Network.

100-nlp-papers

100 Must-Read NLP Papers

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

funNLP

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报告、自然语言生成、NLU太难了系列、自动对联数据及机器人、用户名黑名单列表、罪名法务名词及分类模型、微信公众号语料、cs224n深度学习自然语言处理课程、中文手写汉字识别、中文自然语言处理 语料/数据集、变量命名神器、分词语料库+代码、任务型对话英文数据集、ASR 语音数据集 + 基于深度学习的中文语音识别系统、笑声检测器、Microsoft多语言数字/单位/如日期时间识别包、中华新华字典数据库及api(包括常用歇后语、成语、词语和汉字)、文档图谱自动生成、SpaCy 中文模型、Common Voice语音识别数据集新版、神经网络关系抽取、基于bert的命名实体识别、关键词(Keyphrase)抽取包pke、基于医疗领域知识图谱的问答系统、基于依存句法与语义角色标注的事件三元组抽取、依存句法分析4万句高质量标注数据、cnocr：用来做中文OCR的Python3包、中文人物关系知识图谱项目、中文nlp竞赛项目及代码汇总、中文字符数据、speech-aligner: 从“人声语音”及其“语言文本”产生音素级别时间对齐标注的工具、AmpliGraph: 知识图谱表示学习(Python)库：知识图谱概念链接预测、Scattertext 文本可视化(python)、语言/知识表示工具：BERT & ERNIE、中文对比英文自然语言处理NLP的区别综述、Synonyms中文近义词工具包、HarvestText领域自适应文本挖掘工具（新词发现-情感分析-实体链接等）、word2word：(Python)方便易用的多语言词-词对集：62种语言/3,564个多语言对、语音识别语料生成工具：从具有音频/字幕的在线视频创建自动语音识别(ASR)语料库。

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

TensorFlow_RLRE

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

trfl

TensorFlow Reinforcement Learning

Chinese-Word-Vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

HanLP

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

seq2seq-keyphrase-pytorch

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Additive-Margin-Softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

margin-softmax

keras sparse implement of margin-softmax

NCRFpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

FlowQA

Implementation of conversational QA model: FlowQA (with slight improvement)

GRU4REC-pytorch

An other implementation of GRU4REC using PyTorch

unified-summarization

Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.

Unpaired-Sentiment-Translation

Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL 2018)