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Code for `A Unified MRC Framework for Named Entity Recognition`
中文机器阅读理解 冠军/亚军代码及预训练的MRC模型
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
Code for the paper Learning Domain-specific Representations for Multi-Domain Sentiment Classification
Large-scale multi-document summarization dataset and code
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Extract comments from source files of various languages
An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)
Multitask Learning Resources
Implementation of our SIGIR 2017 paper : "Multitask Learning for Fine-Grained Twitter Sentiment Analysis"
Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
Using deep learning to generate music in MIDI format.
Notes and tutorials on "Mutual information and self-supervised learning"
Mixed-curvature Variational Autoencoders (ICLR 2020)
一个高性能、模块化、可扩展的中文NLP工具包(中文分词 词性标注 命名实体识别 新词发现 文本分类 拼音简繁转换)
A Japanese tokenizer based on recurrent neural networks
NanigoNet — Language detector for code-mixed input supporting 150+19 human+programming languages using deep neural networks
Generating Natural Adversarial Examples, ICLR 2018
Official implementation of the ACL 2022 paper "Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization"
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.