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paraphrase-generation

Implementation of NMT for paraphrase generation

paraphraser

Sentence paraphrase generation at the sentence level

prism

MT Evaluation in Many Languages via Zero-Shot Paraphrasing

ptranking

Learning to Rank in PyTorch

pycorrector

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

pytorch-soft-masked-bert

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.

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

r-drop

ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

recbole

A unified, comprehensive and efficient recommendation library

recommend-system-tf2.0

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

recommender-system-datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

recommenders

Best Practices on Recommendation Systems

redgl

seframe

An Efficient and Effective Framework for Session-based Social Recommendation

sgcp

TACL 2020: Syntax-Guided Controlled Generation of Paraphrases

shgnn

The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

soft-masked-bert

spider

Spider learning

syntactic-template-generation

Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)

tcn

Sequence modeling benchmarks and temporal convolutional networks

transformer-kernel-ranking

TK & TKL - Efficient Transformer-based neural re-ranking models

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformers-keras

Transformer-based models implemented in tensorflow 2.x(using keras).

web-2019

Based on a forked project

website

zufang

:house:Douban rental data search engine(豆瓣租房搜索引擎)