A framework for few-shot evaluation of language models.

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

Topic Modelling for Humans

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80 languages recognition, provide data annotation and synthesis tools, support training and…

Tools for checking ACL paper submissions

Language-Agnostic SEntence Representations

基于Pytorch的Bert应用，包括命名实体识别、情感分析、文本分类以及文本相似度等

Autoregressive Entity Retrieval

An Open-Source Framework for Prompt-Learning.

emoji list; emoji表情列表

emoji list; emoji表情列表

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning

[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240

State-of-the-Art Text Embeddings

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

TextMate is a graphical text editor for macOS 10.12 or later

Adversarial Inference for Multi-Sentence Video Descriptions (CVPR 2019)

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

[ACL 2019] Context-aware Embedding for Targeted Aspect-based Sentiment Analysis

[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks