Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Ml Course | 168 | 3 months ago | R | |||||||
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language | ||||||||||
Od Test | 44 | 4 years ago | mit | Python | ||||||
OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch) | ||||||||||
Oasw Concept Drift Detection And Adaptation | 42 | 3 months ago | mit | Jupyter Notebook | ||||||
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine. | ||||||||||
Anomaly Event Detection | 36 | 6 years ago | 3 | mit | Python | |||||
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress. | ||||||||||
Cs550 | 28 | 6 months ago | mit | Jupyter Notebook | ||||||
Machine Learning Course at IIT Bhilai | ||||||||||
Ocsvm Anomaly Detection | 24 | 4 years ago | 2 | mit | Python | |||||
anomaly detection by one-class SVM | ||||||||||
Anomaly Detection Libs | 8 | 6 years ago | Python | |||||||
Simple libraries for anomaly (outlier) detection | ||||||||||
Fisvdd | 7 | 4 years ago | other | Python | ||||||
Fast Incremental Support Vector Data Description implemented in Python | ||||||||||
Iforest On Spark | 5 | 6 years ago | 1 | Scala | ||||||
Predictive Maintenance With Machine Learning | 5 | 2 years ago | mit | Jupyter Notebook | ||||||
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree. |