groupImg
tslearn
groupImg | tslearn | |
---|---|---|
2 | 51 | |
222 | 2,786 | |
- | 0.7% | |
4.9 | 6.9 | |
3 days ago | 13 days ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
groupImg
-
Introduction to K-Means Clustering
If anyone is interested, I have two projects that uses k-means
https://github.com/victorqribeiro/groupImg
https://github.com/victorqribeiro/budget
Being one of the first ML algorithms that I learned, I spend some time finding use cases for it
If I'm not mistaken I've also used in to classify deforestation in an exercise
-
Show HN: I made NIGHT.FM, a cyberpunk-inspired online radio
well, I took a class back in college with an Old School professor. He's the one who drove the class that way. I just enjoyed the process. But there are a lot of tutorials on the internet about writing your own NN. I think the first algorithm that I ever wrote regarding ML was k-means [1]. Start there and see where it takes you:
https://en.wikipedia.org/wiki/K-means_clustering
Look at this project I have used it:
https://github.com/victorqribeiro/groupImg
tslearn
What are some alternatives?
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
sktime - A unified framework for machine learning with time series
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
RobotEyes - Image comparison for Robot Framework
pytorch-forecasting - Time series forecasting with PyTorch
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
neural_prophet - NeuralProphet: A simple forecasting package
img2cmap - Create colormaps from images
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
hdbscan - A high performance implementation of HDBSCAN clustering.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API