FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternativesHow do Petastorm and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Petastorm | metric-learn |
|---|---|---|
| What it is | Enables single machine or distributed training and evaluation of deep learning models. | This metric-learn repository contains Python implementations of metric learning algorithms. |
| 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 Petastorm and metric-learn.
FEDOT automates machine learning model development through its modeling framework.
Use Learnergy, a Python library for training and working with energy-based machine learning models.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Auto_ViML builds multiple machine learning models with a single line of code.
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
DeepSpeed optimizes distributed training and inference for deep learning models.