Adaptive Boosting Algorithm
Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j
tools for ML in JavaScript
algorithms tool box powered by typescript
NuminaJS is a comprehensive data science package for JavaScript, providing a wide range of tools for data preprocessing, feature selection, data transformation, machine learning algorithms, and data visualization. It's designed to simplify complex data sc
MiniBoosts: A collection of boosting algorithms written in Rust 🦀
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
Complete machine learning framework in Rust - tensors, neural networks, 85+ ML algorithms, GPU acceleration, WASM, FFI, model serving, compiler optimizations, distributed training, and 8 hardware accelerators - all included by default
Automatic differentiation for GhostFlow ML framework
Core tensor operations for GhostFlow ML framework - optimized for maximum performance
CUDA backend for GhostFlow ML framework
Data loading utilities for GhostFlow ML framework
Classical ML algorithms for GhostFlow
Neural network layers for GhostFlow ML framework
Optimizers for GhostFlow ML framework
A Machine Learning framework for Rust
Litsea is an extreamely compact word segmentation and model training tool implemented in Rust.
AdaBoost classifier!
Rumale::Ensemble provides ensemble learning algorithms, such as AdaBoost, Gradient Tree Boosting, and Random Forest, with Rumale interface.
This is a library for machine learning. You can use AdaBoost and Naive Bayes easily.
SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.
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