The Best liblinear-java Alternatives in 2026

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.

ArtiVC provides command-line data versioning for managing large files in cloud storage.

Find the latest release version of a project with lastversion, a command-line tool documented in this repository.

simple-statistics implements descriptive, regression, and inferential statistics in JavaScript.

Chips-n-Salsa provides Java implementations of customizable stochastic and adaptive local search algorithms.

Java and JVM bytecode can be decompiled with Vineflower, a general-purpose tool.

jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.

Krakatau provides tools to decompile, assemble, and disassemble Java bytecode.

Semantic Kernel helps integrate large language model technology into applications.

dl-translate is a library for translating text between languages using transformer models.

A curated collection of servers implementing the Model Context Protocol.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

Efficient fine-tuning of quantized language models is the focus of QLoRA, a method documented in this repository.

Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.

Gito uses language models to review GitHub code for high impact issues such as vulnerabilities, bugs, and maintainability concerns.

Gitingest turns a GitHub repository URL into a text digest suited to language model prompts.

Weights & Biases supports model training, fine tuning, and management from experimentation through production.

DSPy is a framework for programming language models, with algorithms to optimize prompts and model weights.

statsmodels provides statistical modeling and econometrics tools in Python.

Support vector classification and regression are available in LIBSVM, an integrated software tool.

GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.

GLMNet.jl is a Julia wrapper for fitting Lasso and Elastic Net generalized linear models using glmnet.