metasklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
https://github.com/shademe/liblinear-rs
Rust language bindings for the LIBLINEAR C/C++ library
https://github.com/cahya-wirawan/text-classification
Text Classification engine using several algorithms in machine learning
https://github.com/erictleung/ml-final-proj
:wine_glass: CS559/659 Machine Learning Final Project on Predicting Wine Quality
augmentedgaussianprocesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
explainpolysvm
ExplainPolySVM is a python package to provide interpretation and explainability to Support Vector Machine models trained with polynomial kernels. The package can be used with any SVM model as long as the components of the model can be extracted.
ml_individual_tree_mortality
Does Machine Learning outperform Logistic Regression in predicting individual tree mortality? - code and data
https://github.com/rumbledb/rumble
⛈️ RumbleDB 2.0.0 "Lemon Ironwood" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
metrics_for_individual_tree_mortality_models
How performance metric choice influences individual tree mortality model selection - code and data