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The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
a bert for retrieval and generation
Open Source Implementation of Simhash in Python
A Python Implementation of Simhash Algorithm
semantic similarity model
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Simple but Flexible Recommendation Engine in PyTorch
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
Dataset of the paper:“Latent suicide risk detection on microblog via suicide-oriented word embeddings and layered attention
This repository contains the implementation of the paper: Federated Distillation of Natural Language Understanding with Confident Sinkhorns
SKD : Self-supervised Knowledge Distillation for Few-shot Learning
Hierarchical classification module based on scikit-learn's interfaces
A Chinese sentence-level gender-unbiased data set SlguSet containing 20,000 sentences.
ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
[NeurIPS 2020] "SMYRF: Efficient Attention using Asymmetric Clustering".
This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.
A system for quickly generating training data with weak supervision
This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.
Source code for NeurIPS 2022 paper SoLar
中文空间语义理解评测
A regularized multi-task learning framework by Microsoft Research
Official PyTorch implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity"
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.