Aaroniley

Aaroniley's Stars

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.6k4802.5k3.6k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

  Language:Python28k2477.1k3.4k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python14.9k1402.1k2.4k

• flairNLP/flair

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

  Language:Python13.8k2022.3k2.1k

• Embedding/Chinese-Word-Vectors

  100+ Chinese Word Vectors 上百种预训练中文词向量

  Language:Python11.8k2861672.3k

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.8k2991242.6k

• stanfordnlp/GloVe

  Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

  Language:C6.8k2281621.5k

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.3k661911.3k

• 649453932/Chinese-Text-Classification-Pytorch

  中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

  Language:Python5.3k351171.2k

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.8k60981.2k

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python2.9k41260374

• datawhalechina/learn-nlp-with-transformers

  we want to create a repo to illustrate usage of transformers in chinese

  Language:Shell2.2k1621374

• dmis-lab/biobert

  Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

  Language:Python1.9k62175452

• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Language:Python1.7k23210299

• castorini/pyserini

  Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

  Language:Python1.6k18542361

• beir-cellar/beir

  A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  Language:Python1.6k23138187

• zhuifengshen/DingtalkChatbot

  钉钉群自定义机器人消息Python封装

  Language:Python1.2k2654278

• NTMC-Community/awesome-neural-models-for-semantic-match

  A curated list of papers dedicated to neural text (semantic) matching.

  Language:HTML7745322122

• ahangchen/torch_base

  Quickly bring up your PyTorch project(a skeleton)

  Language:Python641510116

• xiaoqian19940510/text-classification-surveys

  文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。

  Language:Python595172104

• ahangchen/windy-afternoon

  Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision

  Language:CSS36322966

• thunlp/SOS4NLP

  Survey of Surveys for Natural Language Processing (SOS4NLP)

  32616138

• UKPLab/gpl

  Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

  Language:Python32163137

• zhihao-chen/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:Python2976089

• sfzhou5678/PolyEncoder

  An unofficial implementation of Poly-encoder (Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring)

  Language:Python25251036

• Georgetown-IR-Lab/cedr

  Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

  Language:Python156163828

• lijqhs/text-classification-cn

  中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

  Language:Python1512230

• RUCAIBox/PLMPapers

  A paper list of pre-trained language models (PLMs).

  1375018

• pl8787/wsdm2021-beyond-prp-tutorial

  WSDM2021 Tutorial: Beyond Probability Ranking Principle: Modeling the Dependencies among Documents

  24405

• irgroup/trec-covid

  As part of the TREC-COVID challenge the Information Retrieval Research Group at Technische Hochschule Köln develops search and retrieval algorithms to support the search for relevant information on COVID-19.

  Language:Python4471