YangdongONE

YangdongONE's Stars

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.2k5269769.6k

• JushBJJ/Mr.-Ranedeer-AI-Tutor

  A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

  28.8k346473.3k

• ymcui/Chinese-LLaMA-Alpaca

  中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

  Language:Python18.3k1857311.9k

• THUDM/ChatGLM2-6B

  ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

  Language:Python15.7k1326151.8k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook14.1k1863632.1k

• THUDM/ChatGLM3

  ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

  Language:Python13.4k987811.6k

• baichuan-inc/Baichuan2

  A series of large language models developed by Baichuan Intelligent Technology

  Language:Python4.1k41394293

• dabeaz/python-cookbook

  Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

  Language:Python3.9k251191.8k

• alibaba/EasyNLP

  EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

  Language:Python2.1k37125252

• zjunlp/KnowLM

  An Open-sourced Knowledgable Large Language Model Framework.

  Language:Python1.2k11135124

• universal-ie/UIE

  Unified Structure Generation for Universal Information Extraction

  Language:Python885875100

• thunlp/DocRED

  Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

  Language:Python6151880113

• NUSTM/ECPE

  Language:Python165131443

• hiyouga/Dual-Contrastive-Learning

  Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

  Language:Python15661227

• tonytan48/KD-DocRE

  Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss

  Language:Python11062519

• BeiCunNan/Sentiment_Analysis_Imdb

  Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

  Language:Python992413

• chunhuizhang/bert_t5_gpt

  Language:Jupyter Notebook50219

• tonytan48/Re-DocRED

  Language:Python47244

• ronaldseoh/atsc_prompts

  Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

  Language:Jupyter Notebook36544

• HITSZ-HLT/BDTF-ABSA

  Released code for「Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction」 in EMNLP2022.

  Language:Python29253

• HITSZ-HLT/ST-w-Scorer-ABSA

  Released code for「Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction」in ACL2024.

  Language:Python16210

• yajus/UECA-Prompt

  UECA-Prompt: Universal Prompt for Emotion Cause Analysis（COLING 2022）

  Language:Python14101

• BD-MF/ASCM4ABSA

  **ASCM4ABSA** - Our code and proposed data for NLPCC 2022 paper titled "Aspect-specific Context Modeling for Aspect-based Sentiment Analysis"

  Language:Python12211

• NUSTM/SHARK

  [EMNLP 2023] Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge

  Language:Python11541

• pjzj220113/chinese-sarcasm-calculation

  欢迎参加中文讽刺计算评测任务！

  103

• jinwei14/sutras-book

  佛学书籍

  9003

• NLPWM-WHU/SLGM

  Shen Zhou, Tieyun Qian: On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. Findings of ACL 2023

  Language:Python7151

• xuuuluuu/ds_ner

  Language:Python6100

• xy-xiaotudou/EmoPrompt-ECPE

  Language:Python4100

• qianqiangediao/ECPE_data

  we annotated the experiencer for emotion cause extraction datasets provided by (Xia and Ding, 2019 ACL)

  Language:Python2