A Python-inspired implementation of the Optimum-Path Forest classifier.
H2O
vsAwesome AutoML Papers
H2O vs Awesome AutoML Papers
How do H2O and Awesome AutoML Papers compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | H2O | Awesome AutoML Papers |
|---|---|---|
| What it is | H2O-3 is an open-source distributed machine learning platform with tools including deep learning, gradient boosting, and random forests. | Curated list of automated machine learning papers, articles, tutorials, slides and projects. |
| 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 |
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