dug's repositories
dec-tensorflow
Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"
Deep_Learning-Biological_Networks
Node Classification on Biological networks using Deep learning
TensorFlow-Time-Series-Examples
Time Series Prediction with tf.contrib.timeseries
NMF-Tensorflow
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
Graph-Regularized-Non-Negative-Matrix-Factorization
La Factorización No Negativa de Matrices es un grupo de algoritmos cuyo objetivo es descomponer una matriz con entradas no negativas en el producto de dos matrices con la misma propiedad. La clásica NMF aproxima la factorización en el espacio euclideo si considerar la geometría intrínseca de los datos. El Graph Regularized Non Negative Matrix Factorization supone que los datos están sobre una variedad e incorpora esta información en la función de costo.
Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码
deeplearning-assignment
吴恩达-深度学习-课后作业-答案与总结
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Louvain
通过局部社区检测算法可实现社区划分，并通过d3可视化显示
LSTM_Attention
attention-based LSTM/Dense implemented by Keras
winadmin
Win10风格前端模板
deep_learning
吴恩达深度学习笔记或者代码
Andrew_Ng_DL_Assignment
微专业: 吴恩达 深度学习工程师 作业
deep-semi-nmf
a deep semi non-negative matrix factorization algorithm written in tensorflow (Trigeorgis2014)
graph-based-nn
Graph Convolutional Networks (GCNs)
DTW_kmedoids
Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
Python-Projects
some python projects
D3-Es6
D3 力导向图 增删改动态更新数据 点击生成节点 拖拽生成连线...
Lasso
Codes for Lasso with various methods
TT-Toolbox
The git repository for the TT-Toolbox