caomaowsh's repositories
algo-on-graphs
Algorithms in Graph Theory written in Java, C++, and Python
awesome-network-analysis
A curated list of awesome network analysis resources.
BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
ClassifierToolbox
A MATLAB toolbox for classifier: Version 1.0.7
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
DDoutlier
A MATLAB version of DDOutlier
deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
deep-learning-from-scratch
深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》
DetectionCausalRelationshipsTimeSeries
Code for paper "A method for detecting causal relationships between discrete time series using Transfer entropy and K2-Algorithm: A case study on the plant-wide simulation Tennessee Eastman Process"
ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
L2C
Learning to Cluster. A deep clustering strategy.
learntf
learning code with tf
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
LSTM-Autoencoders
Anomaly detection for streaming data using autoencoders
Maximally_Interfered_Retrieval
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
NNKSC
Non-negative Kernel Sparse Coding algorithm for semantic dictionary learning in feature space.
SAE-in-python
a python implement of the paper Semantic Autoencoder for Zero-Shot Learning
SS-GCNs
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
SSVEP-Neural-Generative-Models
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
TFN
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at