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qa_match

A simple effective ToolKit for short text matching

qanet-pytorch

Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

qcloud-documents

腾讯云官方文档

qg

Implementation of the paper "Learning to Generate Questions by Learning What not to Generate"

qianrenjian.github.io

qingbo_ccl2019-chinese-humor-computation

清博2019ccl幽默度识别第一名解决方案代码及说明

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

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.

quantidce

Towards Quantifiable Dialogue Coherence Evaluation (ACL 2021)

quantitative-comparison-nlp-embeddings-from-glove-to-roberta

Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.

question-pairs-matching

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

quora-miracle-nikki

kaggle competition for wsm final project

quora-question-similarity-using-bert-embeddings-with-siamese-networks-as-feature-extractors

Proposed a model architecture which learns to classify duplicate question pairs based on highly contextualized sentence representations. Achieved by using both individual and combined sentence embeddings based on Word2Vec, GloVe and FastText word embeddings with CNN(convolutional neural networks) and DNN(Dense neural network) Siamese networks and an array of features engineered using sentence structure, fuzzy logic , BERT sentence embeddings and BERT [CLS] token.

r-drop

r-net

R-net in PyTorch, with ELMo

r-transformer

radam

On the Variance of the Adaptive Learning Rate and Beyond

radish

C++ model train&inference framework

rake-tutorial

A python implementation of the Rapid Automatic Keyword Extraction

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

rank4_nlp_textclassification

阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction

ranking

Learning to Rank in TensorFlow

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

rbf-softmax

rc-cnn-dailymail

CNN/Daily Mail Reading Comprehension Task

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

rcpapers

Must-read papers on Machine Reading Comprehension

re-context-or-names

Bert-based models(BERT, MTB, CP) for relation extraction.

recadam

Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.