FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

搜索所有中文NLP数据集，附常用英文NLP数据集

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

LangChain 的中文入门教程

实现moss int8的finetune和优化源moss项目模型保存问题

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

🦜🔗 Build context-aware reasoning applications

Model parallel transformers in JAX and Haiku

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Code from the paper "Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity"

TensorFlow code and pre-trained models for BERT and ERNIE

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

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

An idea that take advantages of features of deep learning to use unannotated samples for NER and identify sequences with error labels.

About Muti-Label Text Classification Based on Neural Network.

MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification

Sequence Generation Model for Multi-label Classification (COLING 2018)

A scikit-learn based module for multi-label et. al. classification

Large-Scale Multi-Label Text Classification on EU Legislation

ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which ca…

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

A Large-Scale Few-Shot Relation Extraction Dataset

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A pytorch implementation of BERT-based relation classification

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Named Entity Recognition (LSTM + CRF) - Tensorflow