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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

anomaly_detection

基于LSTM的异常检测

attentive_history_selection

bert

TensorFlow code and pre-trained models for BERT

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

bigdataanalysis

NJUSE-大数据分析课程作业

checked

COVID-19数据集

cnn_tsc

A CNN for time-series classification

course-it-project-management

基础课程，《IT项目管理》课程仓库

course-web1

课程 Web1 的相关资料。

data

dl-4-tsc

Deep Learning for Time Series Classification

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

hashet

HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation) is a model aimed at suggesting a relevant set of hashtags for a given post.

k-bert

Source code of K-BERT (AAAI2020)

kmachinelearning

机器学习从0到1的过程

knowledgegraphembedding

lstm

基于LSTM神经网络的时间序列预测

lstm-load-forecasting

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

lstm_tsc

An LSTM for time-series classification

ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

nltk_data

NLTK Data

openke

An Open-Source Package for Knowledge Embedding (KE)

project-management

pullrequestdemo

repertory1

To learn GitHub