autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternativesHow do caret and cl-random-forest compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | caret | cl-random-forest |
|---|---|---|
| What it is | The caret R package provides functions for classification and regression training. | This repository implements random forest models in Common Lisp for classification tasks. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | — | English |
| Alternatives |
Sites similar to both caret and cl-random-forest.
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
This Common Lisp repository collects algorithms for online linear classification.
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
Enables single machine or distributed training and evaluation of deep learning models.
Learnergy is a Python library for energy-based machine learning models.