Pei-Hsuan Lu (peihsuan11)

peihsuan11

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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.

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AnomalyDetection-Using-AE

Anomaly Detection using SVM one class and Auto encoders in Keras

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awesome-AIOps

AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star

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Awesome-Incremental-Learning

Awesome Incremental Learning

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compare_gan

Compare GAN code.

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Deep-Learning-Audio-Application-From-Design-to-Deployment

Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.

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DeepLearningForAudioWithPython

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

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Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

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DPTable

differential private tabular data publishing

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gan-on-structured-data

Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network

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Google-Analytics-Customer-Revenue-Prediction

Predict how much GStore customers will spend

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intro-to-dl

Resources for "Introduction to Deep Learning" course.

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

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luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

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luminol

Anomaly Detection and Correlation library

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MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

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models

Models built with TensorFlow

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privacy

Library for training machine learning models with privacy for training data

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private-ai

Repo for Udacity's Secure & Private AI course

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scipy_con_2019

Tutorial Sessions for SciPy Con 2019

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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.

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Slides-SciPyConf-2018

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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Time-Series-Analysis-Tutorial

时间序列分析教程

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