Pinned Repositories
Age-and-Gender
同时识别年龄与性别
ART
atics_i
First module assignment for Advanced Topics In Computer Science course held at the "Roma Tre" University of Rome.
CASE
code for Truth Discovery by Claim and Source Embedding
COVID-19-Visualization
武汉2019新型冠状病毒疫情可视化(ncov全国疫情地图及时间轴变化，各省市地图及疫情曲线)，疫情数据分析系统，疫情小区可视化，WuHan 2019-nCoV Data Visualization Analysis System (前端+后端+数据清洗)
deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
DeepLearningTutorials-1
Deep Learning与PyTorch入门实战视频教程
EATNN
This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
epidemic1_big_screen
wordhelper
This is a useful tool for office.
sdimple-chf's Repositories
sdimple-chf/wordhelper
This is a useful tool for office.
sdimple-chf/ART
sdimple-chf/COVID-19-Visualization
武汉2019新型冠状病毒疫情可视化(ncov全国疫情地图及时间轴变化，各省市地图及疫情曲线)，疫情数据分析系统，疫情小区可视化，WuHan 2019-nCoV Data Visualization Analysis System (前端+后端+数据清洗)
sdimple-chf/EATNN
This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
sdimple-chf/epidemic1_big_screen
sdimple-chf/Excelhandle
This is a useful tool.
sdimple-chf/fair-truth-discovery
sdimple-chf/Girls-In-AI
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
sdimple-chf/Graph-based-Recommendation-System-1
Graph convolutional matrix completion
sdimple-chf/GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
sdimple-chf/GraphRec-WWW19
Graph Neural Networks for Social Recommendation, WWW'19
sdimple-chf/GraphRec_PyTorch
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
sdimple-chf/hugbert
Hugging BERT together. Misc scripts for Huggingface transformers.
sdimple-chf/Incentive-Mechanism-Design-for-Truth-Discovery-in-Crowdsourcing-with-Copiers
sdimple-chf/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
sdimple-chf/learnopencv
Learn OpenCV : C++ and Python Examples
sdimple-chf/ProjetTD-AC
This paper presents TD-AC which is an effective algorithm for the truth discovery problem when the attributes over data are structurally correlated. We build our procedure on an abstract representation of the truth in the data, the k-means clustering technique and the silhouette measure to automatically find an optimal partitioning of the input data (or a near-optimal) maximizing the accuracy of any base truth discovery process. The intensive experiments conducted on synthetic and real datasets show that TD-AC outperforms existing partitioning approaches with a more reasonable running time. It improves on synthetic datasets the accuracy of standard truth discovery algorithms by 6% at least and by 16% at most and also significantly when the data coverage rate is high for the other types of datasets
sdimple-chf/pseudo_labeling_small_datasets
Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")
sdimple-chf/python-Machine-learning
机器学习算法项目
sdimple-chf/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
sdimple-chf/Resolving-Conflicts-in-Heterogeneous-Data--CRH_Framework
Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation
sdimple-chf/spectrum
A python library for data fusion
sdimple-chf/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
sdimple-chf/tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
sdimple-chf/truth-discovery
Data fusion with truth discovery from multiple conflicting sources
sdimple-chf/TruthDiscovery
Truth Discovery in DBG@SUSTech
sdimple-chf/TruthDiscovery-1
sdimple-chf/truthdiscovery-2
Python3 library implementing a selection of truth-discovery algorithms
sdimple-chf/TTfresh
This is a software engineering work.
sdimple-chf/ttfreshwork
This is a software engineering work.