spaceopt VS nni

Compare spaceopt vs nni and see what are their differences.

spaceopt

Hyperparameter optimization via gradient boosting regression (by ar-nowaczynski)
Python Machine Learning hyperparameter-optimization Automl
Source Code
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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
Automl Deep Learning neural-architecture-search hyperparameter-optimization Distributed bayesian-optimization automated-machine-learning Machine Learning machine-learning-algorithms Data Science Tensorflow Pytorch neural-network deep-neural-network model-compression feature-engineering Nas Python hyperparameter-tuning Mlops
Source Code
nni.readthedocs.io
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spaceopt nni
1 5
42 13,777
- 0.7%
3.6 4.5
almost 2 years ago 3 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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spaceopt

Posts with mentions or reviews of spaceopt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-30.

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

When comparing spaceopt and nni you can also consider the following projects:

optuna - A hyperparameter optimization framework

Spearmint - Spearmint Bayesian optimization codebase

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

optuna-examples - Examples for https://github.com/optuna/optuna

autogluon - Fast and Accurate ML in 3 Lines of Code

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

automlbenchmark - OpenML AutoML Benchmarking Framework

spaceopt vs optuna nni vs optuna spaceopt vs Spearmint nni vs FLAML spaceopt vs optuna-examples nni vs autogluon spaceopt vs Ray nni vs AutoML spaceopt vs Hyperactive nni vs hyperopt nni vs archai nni vs automlbenchmark