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An Open-Source Package for Textual Adversarial Attack.
PArallel Distributed Deep LEarning
Person Re-ranking (CVPR 2017)
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Quasi-RNN for language modeling
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Tensorflow Implementation of R-Net
天池-新冠疫情相似句对判定大赛 大白_Rank6
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
ResNeSt: Split-Attention Networks
Code for Chinese Poetry Generation with Recurrent Neural Networks (EMNLP 2014)
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
天池瑞金知识图谱算法大赛
简体字&繁体字笔画映射工具包(stroke count mapping),以及笔画库编辑工具。共收录20964个汉字,按照偏旁部首排序。
Sequence to Sequence Learning with Keras
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.
Voice Conversion Tool Kit
Training RNNs as fast as CNNs. An unofficial tensorflow implementation.
基于“音形码”的中文字符串相似度计算方法
Code and documentation to train Stanford's Alpaca models, and generate the data.
Tacotron speech synthesis implemented in TensorFlow, with samples and a pre-trained model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.