sunyong2016

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ANFIS

Fuzzy Q learning in Tensorflow , Training an ANFIS.

DeepRL-Chinese

PostGIS-Examples

常用的PostGIS的一些函数使用方法以及自定义函数，比如：pg连接oracle、pg连接sqlserver、导出csv、导入csv、查询XX米范围内数据、模糊查询、热力图聚合、生成扇形、生成栅格、生成泰森多边形、生成蜂巢图、裁剪多边形、计算点所在区域、路径分析、近邻计算等

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Semantic-Parsing

shp2geosparql

Java console tool to convert geometries from shape files to RDF using GeoSPARQL OGC standard . You can extract geometries and spatial relations of a SHP and convert them to RDF in WGS84 Reference System. Geometry2RDF: https://github.com/boricles/geometry2rdf was taken as the base of this develpment.

SKS

A high performance geospatial database that supports spatial keyword search.

TTMF

TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs

sunyong2016/DeepRL-Chinese

sunyong2016/Ai-Learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

sunyong2016/Chinese-Word-Vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

sunyong2016/CoSeRec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

sunyong2016/CV_TermProject3_SelfMatch

sunyong2016/DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

sunyong2016/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

sunyong2016/easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

sunyong2016/Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

sunyong2016/FedGraphNN

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

sunyong2016/GaLR

Source code of paper "Remote Sensing Cross-Modal Image-Text Retrieval Based on Global and Local Information"

sunyong2016/HINE

Heterogeneous Information Network Embedding

sunyong2016/kddcup-starting-kit

The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.

sunyong2016/leaflet_task

Very useful Leaflet JS exercises for beginners using different open-source javascript plugins

sunyong2016/leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

sunyong2016/loc2vec

An implementation of the skip-gram model used in word2vec, but with sequences of locations

sunyong2016/nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

sunyong2016/NNCLR

Implementation of the nearest neighbour CLR paper

sunyong2016/paper-reading

深度学习经典、新论文逐段精读

sunyong2016/pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

sunyong2016/PIE-CL

Improving Session-based Recommendation with Constrastive Learning, User Modeling and User-adapted Interaction (UMUAI), 2022.

sunyong2016/PostGIS-Grids

PostgreSQL, PostGIS custom algorithm to make Hex Grid, Triangle Grid, Points Grid, and Rectangle Grid.

sunyong2016/pytorch-Deep-Learning

Deep Learning (with PyTorch)

sunyong2016/recsys-nlp-graph

🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

sunyong2016/SASRec.Critic.Actor.Pytorch

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

sunyong2016/SCAN

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

sunyong2016/siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

sunyong2016/stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

sunyong2016/torchrs

PyTorch implementation of popular datasets and models in remote sensing

sunyong2016/traj2embedding

Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction