The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
Open source
24 alternativesHow do Goptuna and nilearn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Goptuna | nilearn |
|---|---|---|
| What it is | Goptuna provides hyperparameter optimization tools in a framework inspired by Optuna. | nilearn provides Python tools for machine learning and neuroimaging analysis. |
| 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 |
Sites similar to both Goptuna and nilearn.
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
pytorch tabular provides a unified framework for deep learning models on tabular data.
neuropredict evaluates predictive performance using neuroimaging features.