Pei-Hsuan Lu's repositories
anomaly_detection
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
AnomalyDetection-Using-AE
Anomaly Detection using SVM one class and Auto encoders in Keras
awesome-AIOps
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Awesome-Incremental-Learning
Awesome Incremental Learning
compare_gan
Compare GAN code.
Deep-Learning-Audio-Application-From-Design-to-Deployment
Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.
DeepLearningForAudioWithPython
Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
gan-on-structured-data
Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network
Google-Analytics-Customer-Revenue-Prediction
Predict how much GStore customers will spend
intro-to-dl
Resources for "Introduction to Deep Learning" course.
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
privacy
Library for training machine learning models with privacy for training data
private-ai
Repo for Udacity's Secure & Private AI course
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
semisupervised_timeseries_infogan
A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.
Slides-SciPyConf-2018
A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Time-Series-Analysis-Tutorial
时间序列分析教程