Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
Open source
24 alternativesdoddle-model
vsnumpy-ML
doddle-model vs numpy-ML
How do doddle-model and numpy-ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | doddle-model | numpy-ML |
|---|---|---|
| What it is | doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses. | 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 doddle-model and numpy-ML.
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.
Open source
24 alternatives
Use Learnergy, a Python library for training and working with energy-based machine learning models.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives
EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
Open source
24 alternatives
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives