The Best caret Alternatives in 2026

autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.

The Accord.MachineLearning package includes .NET algorithms for support vector machines, decision trees, and clustering.

Aerosolve provides a machine learning package with example models and documentation.

EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.

This Common Lisp repository collects algorithms for online linear classification.

This repository implements random forest models in Common Lisp for classification tasks.

BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.

numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.

Optuna automates hyperparameter optimization for machine learning models.

Use Learnergy, a Python library for training and working with energy-based machine learning models.

Enables single machine or distributed training and evaluation of deep learning models.

Detecto supports building and training computer vision models with the PyTorch machine learning framework.

ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.

DeepSpeed optimizes distributed training and inference for deep learning models.

Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.

Edward provides a library for probabilistic modeling, inference, and model criticism.

PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

TensorFlow Model Optimization provides Keras and TensorFlow tools for model quantization and pruning.

PyTorch Geometric Temporal provides models and tools for spatiotemporal signal processing with neural learning.

Karate Club offers algorithms for unsupervised learning on graph data in Python.

doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.

AutoGluon provides tools for automated machine learning and model development.

FEDOT automates machine learning model development through its modeling framework.