This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativesJax
vsnumpy-ML
Jax vs numpy-ML
How do Jax and numpy-ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Jax | numpy-ML |
|---|---|---|
| What it is | JAX composes transformations for Python and NumPy programs, including differentiation, vectorization, and compilation. | numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package. |
| 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 Jax and numpy-ML.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternatives
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternatives
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternatives