mosmoqiu

mosmoqiu

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DeepSeek-V2

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

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LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

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npc_gzip

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

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RAN

RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23

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BERT_label_embedding

Code for BERT with Label Embeddings (Findings of EMNLP 2020)

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GPT-CLS-CARP

Code for the paper `Text Classification via Large Language Models`.

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AdaSent

This repository contains the code for the EMNLP'23 paper "AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification"

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Sentiment-Analysis-by-Capsules

A pytorch implemention of "Sentiment Analysis by Capsules"

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RAL

Robust Asymmetric Loss for Multi-Label Long-Tailed Learning

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ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

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open-interpreter

A natural language interface for computers

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Chinese-Text-Classification-Pytorch-Tuning

中文文本分类,Bert,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。

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label_confusion_learning

Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"

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TransPrompt

(Accepted By EMNLP2021 main long)TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification

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prompt-based-learning

This is a simple implementation of how to leverage a Language Model for a prompt-based learning model

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prompt_text_classification

基于prompt的中文文本分类。

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FewShotText

Library of various Few-Shot Learning frameworks for text classification

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few-shot-text-classification

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

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awesome-few-shot-learning-in-nlp

A curated list of few-shot learning in NLP. :-)

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ACL2021-LaSAML

The repo for ACL2021 findings paper - Don't Miss the Labels: Label-semantic Argumented Meta-Learner for Few-Shot Text Classification

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albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

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Awesome-Chinese-LLM

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

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