Top 6 Pca Open-Source Projects

• H2O

  10 6,744 9.7 Jupyter Notebook

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  

Project mention: Really struggling with open source models | /r/LocalLLaMA | 2023-07-12

I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/

• prince

  1 1,190 7.0 Python

  :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA (by MaxHalford)

Project mention: Categorical data in K-means | /r/datascience | 2023-05-19

Well, my favourite thing about posting on Reddit is learning new things. https://github.com/MaxHalford/prince I looked up the Prince and I'll be reading up about FAMD shotly - thanks!

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• faiss-ruby

  1 118 6.0 C++

  Efficient similarity search and clustering for Ruby

• BetaML.jl

  1 90 8.1 Julia

  Beta Machine Learning Toolkit

• AnnA_Anki_neuronal_Appendix

  3 57 8.4 Python

  Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

• wahlomat_analysis

  2 10 0.0 Jupyter Notebook

  Analyzes www.wahl-o-mat.de German political party data

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