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absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

ai_challenger_2018

Zero-shot Learning

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

aspect_extract_picture

auto_score

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bylw

毕业论文代码

commentsmining

用户评论标签挖掘

cptools

entities_risk

Intelligent digest and risk level identification based on institutional entities

face_recognition

The world's simplest facial recognition api for Python and the command line

fewclue_shuabang

flan

gpt2-newstitle

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

i-was

a dataset for the paper I-WAS: a data augmentation method with GPT-2 for simile Detection

keras-quora-question-pairs

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

kkndme_tianya

天涯 kkndme 神贴聊房价

langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答

livebot

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

machine-learning-pro

Basic knowledge of machine learning by mind mapping

mams-for-absa

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

mnbvc

MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。

models

Models built with TensorFlow

mousematch

natural-instructions

Expanding natural instructions

nlp-conference-compendium

Compendium of the resources available from top NLP conferences.

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。