Pinned Repositories
heteta
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码
ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
deepgtt
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearning.ai
Some work of Andrew Ng's course on Coursera
deeplearning.ai_JupyterNotebooks
DeepLearning.ai课程学习Jupyter Notebook作业
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
DeepTravel
DeepTravel-Preprocessing
xw-wang97's Repositories
xw-wang97/FedWeIT
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
xw-wang97/DistributionalShapley
Distributional Shapley: A Distributional Framework for Data Valuation
xw-wang97/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
xw-wang97/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
xw-wang97/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
xw-wang97/heteta
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
xw-wang97/DeepTTE
xw-wang97/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
xw-wang97/lihang-code
《统计学习方法》的代码实现
xw-wang97/txcl
苏州大学《图像处理》课程笔记
xw-wang97/ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
xw-wang97/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
xw-wang97/STGCN_IJCAI-18
Spatio-Temporal Graph Convolutional Networks
xw-wang97/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
xw-wang97/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
xw-wang97/Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码
xw-wang97/DeepTravel-Preprocessing-1
xw-wang97/DeepTravel
xw-wang97/books
技术资料分享
xw-wang97/PACE2017
A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.
xw-wang97/DeepTravel-Preprocessing
xw-wang97/deepgtt
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
xw-wang97/deeplearning.ai
Some work of Andrew Ng's course on Coursera
xw-wang97/deeplearning.ai_JupyterNotebooks
DeepLearning.ai课程学习Jupyter Notebook作业