This Common Lisp repository collects algorithms for online linear classification.
Open source
24 alternativeseaopt
vscl-random-forest
eaopt vs cl-random-forest
How do eaopt 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 | eaopt | cl-random-forest |
|---|---|---|
| What it is | eaopt provides Go libraries for genetic algorithms, particle swarm optimization, and differential evolution. | This repository implements random forest models in Common Lisp for classification tasks. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both eaopt and cl-random-forest.
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternatives
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives
TensorFlow Model Optimization provides Keras and TensorFlow tools for model quantization and pruning.
Open source
24 alternatives
PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
Open source
24 alternatives
Use Learnergy, a Python library for training and working with energy-based machine learning models.
Open source
24 alternatives