Beast code in Giters

CG0211's repositories

NSSR

source code of the paper of Combining Non-sampling and Self-attention for Sequential Recommendation

Language:PythonApache-2.0100

Spatial-Temporal-Attention-Network-for-POI-Recommendation

Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.

Language:Python100

STiSAN.pytorch

A Spatio-Temporal Interval-Aware Sequential POI Recommendation

Language:Python100

In this research, we present a problem of queuing time aware next POI recommendation and demonstrate how it is non-trivial to both recommend a next POI and simultaneously predict its queuing time. To solve this problem, we propose a multi-task, multi head attention transformer model called TLR-M. The model recommends next POIs to the target users and predicts queuing time to access the POIs simultaneously. By utilizing multi-head attention, the TLR-M model can integrate long range dependencies between any two POI visit efficiently and evaluate their contribution to select next POIs and to predict queuing time. To use this code in your research work please cite the following paper. Sajal Halder, Kwan Hui Lim, Jeﬀrey Chan, and Xiuzhen Zhang. Transformer-based multi-task learning for queuing time aware next poi recommendation. In Paciﬁc-Asia Conference on Knowledge Discovery and Data Mining, pages 510–523. Springer, 2021, DOI: https://doi.org/10.1007/978-3-030-75765-6_41

Language:Python100

AI-RecommenderSystem

该仓库尝试整理推荐系统领域的一些经典算法模型

Language:Jupyter Notebook000

ai-study

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

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AI_Competitions_2

Kaggle 2차년도(2021)

Language:Jupyter Notebook000

Anomaly_ML

Anomaly detection based on autoencoders

Language:Python000

BiCAT

This is the official source code of "BiCAT: Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer" based on TensorFlow.

Language:PythonApache-2.0000

camera_calibration

Accurate geometric camera calibration with generic camera models

BSD-3-Clause000

Change-Detection-Review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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