Real-bojack

Real-bojack's Stars

• machamp-nlp/machamp

  Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/

  Language:Python8320

• leonweber/biomuppet

  Language:Python5

• bigscience-workshop/promptsource

  Toolkit for creating, sharing and using natural language prompts.

  Language:Python2.7k355

• CogStack/MedCATtutorials

  General tutorials for the setup and use of MedCAT.

  Language:HTML3415

• CogStack/MedCAT

  Medical Concept Annotation Tool

  Language:Python466104

• bigscience-workshop/lm-evaluation-harness

  A framework for few-shot evaluation of autoregressive language models.

  Language:Python10229

• bigscience-workshop/biomedical

  Tools for curating biomedical training data for large-scale language modeling

  Language:Python463115

• chanzuckerberg/MedMentions

  A corpus of Biomedical papers annotated with mentions of UMLS entities.

  31631

• Georgetown-IR-Lab/QuickUMLS

  System for Medical Concept Extraction and Linking

  Language:Python39096

• liuhuanyong/QASystemOnMedicalKG

  A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

  Language:Python6.5k2.2k

• fenchri/edge-oriented-graph

  Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"

  Language:Python14717

• wzhouad/ATLOP

  Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

  Language:Python20139

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python138k27.6k

• xiaoyuxin1002/SAIS

  SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction

  Language:Python195

• thunlp/PL-Marker

  Source code for "Packed Levitated Marker for Entity and Relation Extraction"

  Language:Python26335

• PaddlePaddle/Research

  novel deep learning research works with PaddlePaddle

  Language:Python1.7k789

• Alibaba-NLP/KB-NER

  Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

  Language:Python17920

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.7k8k

• flairNLP/flair

  A very simple framework for state-of-the-art Natural Language Processing (NLP)

  Language:Python14k2.1k

• yao8839836/kg-bert

  KG-BERT: BERT for Knowledge Graph Completion

  Language:Python720141

• TingFree/NLPer-Arsenal

  收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

  Language:Python2.2k254

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k4.8k

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7.1k790

• PeterL1n/BackgroundMattingV2

  Real-Time High-Resolution Background Matting

  Language:Python6.9k954

• tonytan48/KD-DocRE

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

  Language:Python11220

• declare-lab/RelationPrompt

  This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

  Language:Python12717

• zjunlp/DeepKE

  [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

  Language:Python3.7k701

• fc-liu/MCMN

  Language:Python151

• chen700564/sdnet

  Language:Python376

• psunlpgroup/CONTaiNER

  Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"

  Language:Python11518