szt852

szt852's Stars

• NVIDIA/GenerativeAIExamples

  Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

  Language:Python2.4k512

• excalidraw/excalidraw

  Virtual whiteboard for sketching hand-drawn like diagrams

  Language:TypeScript84.4k8k

• coggle-club/notebooks

  数据科学教程案例

  Language:Jupyter Notebook10734

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.5k8.1k

• FutureForMe/Chinese_Medical_Natural_Language_Processing_Resources_and_Papers

  各大顶会医疗领域NLP论文与资源。NLP papers and resources in the medical field.

  10313

• 131250208/TPlinker-joint-extraction

  Language:Jupyter Notebook45094

• WindChimeRan/OpenJERE

  EMNLP2020 findings paper: Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

  Language:Python519

• changzhisun/AntNRE

  AntNLP Neural Relation Extraction

  Language:Python4010

• wjn1996/TransPrompt

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

  Language:Python327

• ucinlp/null-prompts

  Code for: "Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models"

  Language:Jupyter Notebook202

• ucinlp/autoprompt

  AutoPrompt: Automatic Prompt Construction for Masked Language Models.

  Language:Python59482

• tonyzhaozh/few-shot-learning

  Few-shot Learning of GPT-3

  Language:Python34250

• zjunlp/DART

  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

  Language:Python12816

• UKPLab/emnlp2021-prompt-ft-heuristics

  Language:Python103

• thunlp/KnowledgeablePromptTuning

  kpt code

  Language:Python20621

• thunlp/OpenPrompt

  An Open-Source Framework for Prompt-Learning.

  Language:Python4.4k454

• THUDM/P-tuning-v2

  An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

  Language:Python2k202

• thu-coai/PPT

  Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022

  Language:Python1088

• Alfred1984/interesting-python

  有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

  Language:Jupyter Notebook4.7k1.6k

• zhaogaofeng611/TextMatch

  基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）

  Language:Python787146

• HillZhang1999/CTC-Report

  CTC2021-中文文本纠错大赛的SOTA方案及在线演示

  729

• HillZhang1999/MuCGEC

  MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"

  Language:Python50664

• chatopera/Synonyms

  :herb: 中文近义词：聊天机器人，智能问答工具包

  Language:Python5k901

• longlongman/CasRel-pytorch-reimplement

  Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

  Language:Python20053

• Robin-WZQ/CBLUE_CMeIE_model

  CBLUE2.0-关系抽取模型，基于pytorch

  Language:Python9

• changdejie/diaKG-code

  糖尿病知识图谱实验代码

  Language:Python4629

• xhw205/GPLinker_torch

  CMeIE/CBLUE/CHIP/实体关系抽取/SPO抽取

  Language:Python21414

• lvjianxin/Relationship-extraction

  中文关系抽取

  Language:Python13636

• yuanxiaosc/Multiple-Relations-Extraction-Only-Look-Once

  Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

  Language:Python34669

• loujie0822/DeepIE

  DeepIE: Deep Learning for Information Extraction

  Language:Python1.9k356