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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

album

An album that records kinds of paper implementation

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-kbqa

Paper list of KBQA

bert

TensorFlow code and pre-trained models for BERT

best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

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.

chinese-bert-wwm

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

chinese-nlp-corpus

Collections of Chinese NLP corpus

crf-layer-on-the-top-of-bilstm

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

kbqa-bert

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

kbqa-for-diagnosis

Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

models

Models and examples built with TensorFlow

news-classify-based-on-encoder

paddlehub

Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）

pytorch-crf

(Linear-chain) Conditional random field in PyTorch.

recommenders

Best Practices on Recommendation Systems

style-transfer-in-text

Paper List for Style Transfer in Text

styleguide

Style guides for Google-originated open-source projects

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

transfomer-with-tensorflow2

The repository is an implementation of Transfomer with TensorFlow2 based on the tutorials of official website, which i add some componnents according to the paper.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

uda

Unsupervised Data Augmentation (UDA)

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding