Pinned Repositories
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
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
AI_Competitions_2
Kaggle 2차년도(2021)
Anomaly_ML
Anomaly detection based on autoencoders
bert_nlu_joint
一个使用tensorflow2.3开发的基于Bert的意图识别的自然语言理解任务Demo
ncufc
NanChang Univeristy Football Club
NSSR
source code of the paper of Combining Non-sampling and Self-attention for Sequential Recommendation
Spatial-Temporal-Attention-Network-for-POI-Recommendation
Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.
STiSAN.pytorch
A Spatio-Temporal Interval-Aware Sequential POI Recommendation
TLR-M
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
CG0211's Repositories
CG0211/NSSR
source code of the paper of Combining Non-sampling and Self-attention for Sequential Recommendation
CG0211/Spatial-Temporal-Attention-Network-for-POI-Recommendation
Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.
CG0211/STiSAN.pytorch
A Spatio-Temporal Interval-Aware Sequential POI Recommendation
CG0211/TLR-M
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
CG0211/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
CG0211/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
CG0211/AI_Competitions_2
Kaggle 2차년도(2021)
CG0211/Anomaly_ML
Anomaly detection based on autoencoders
CG0211/BiCAT
This is the official source code of "BiCAT: Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer" based on TensorFlow.
CG0211/camera_calibration
Accurate geometric camera calibration with generic camera models
CG0211/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.
CG0211/cheatsheets
Official Matplotlib cheat sheets
CG0211/CV_Interview
I hope this repo can help you a lot!
CG0211/daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
CG0211/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
CG0211/DeepCalib
DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras
CG0211/DR-TANet
CG0211/imcs-ir
Solution of IMCS Dataset IR Task from CBLUE
CG0211/interviewtop
CG0211/learnopencv
Learn OpenCV : C++ and Python Examples
CG0211/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
CG0211/livox_camera_calib
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
CG0211/MIAN-CTR
Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”
CG0211/plot_demo
论文里可以用到的实验图示例
CG0211/POI-WMF
CG0211/pysheeet
Python Cheat Sheet
CG0211/PyTorchTricks
Some tricks of pytorch... :star:
CG0211/RS_read
RS
CG0211/RSPapers
A Curated List of Must-read Papers on Recommender System.
CG0211/Upright-Adjustment-With-Graph-Convolutional-Networks