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albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

at4chinesener

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

awesome-qa

A curated list of the Question Answering (QA)

awesome-synthtext

A curated list of awesome synthetic data for text location and recognition

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert_extension_tf

BERT Extension in TensorFlow

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

ckiptagger

CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

cogvlm

a state-of-the-art-level open visual language model

convbert

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

cutlass_fpa_intb_gemm

A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer

deep-finance

Datasets, papers and books on AI & Finance.

deepinf

DeepInf: Social Influence Prediction with Deep Learning

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepwalk

DeepWalk - Deep Learning for Graphs

dfgn-pytorch

Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

document-classification-and-post-ocr-key-value-extraction

Document Classification and Post-OCR Key Value Extraction

drwhy

DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

eda_nlp_for_chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

euler

A distributed graph deep learning framework.

fastertransformer

Transformer related optimization, including BERT, GPT

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

flair

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

google-research

Google AI Research

gpt-2

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

graph-transformer

Transformer for Graph Classification (in Pytorch and Tensorflow)