Qiuchi Li (qiuchili)

qiuchili

Geek Repo

Company:University of Copenhagen

Location:Copenhagen

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Qiuchi Li's repositories

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diasenti

Conversational Multimodal Emotion Recognition

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monosenti

Multimodal Sentiment Analysis for Monologue

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MMSentiReader

Read and Process Multimodal Emotion and Recognition Data

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Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

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awesome-danish

A curated list of awesome resources for Danish language technology

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CMU-MultimodalSDK

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.

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covarep

A Cooperative Voice Analysis Repository for Speech Technologies

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danlp

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

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dynamics-365-unified-operations-public

Documentation for Microsoft Dynamics 365 apps such as Dynamics 365 Finance, Dynamics 365 Commerce, Dynamics 365 Supply Chain Management, and Dynamics 365 Human Resources

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GENERATING-NATURAL-LANGUAGE-EXPLANATION-FOR-RECOMMENDATION

Implentation of Cheng et al, “Generate natural language explanations for recommendation”-EARS-2019, from scratch

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ggnn_graph_classification

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) for Graph Classification

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ITSCrawler

Python Crawler for Issue Tracking Systems

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kompetencer

Repository for the LREC submission "Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning"

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MatchZoo-py

Facilitating the design, comparison and sharing of deep text matching models.

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MELD

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

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MPS-in-Qiskit

Preparing Matrix Product State in Qiskit

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nordic_bert

Pre-trained Nordic models for BERT

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PETER

ACL'21, Personalized Transformer for Explainable Recommendation

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PyQLM

Quantum language model with Python version

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qiuchili.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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transformers

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

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