GPflowOpt VS nni

Compare GPflowOpt vs nni and see what are their differences.

GPflowOpt

Bayesian Optimization using GPflow (by GPflow)
gpflow bayesian-optimization Machine Learning hyperparameter-optimization
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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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GPflowOpt nni
1 5
263 13,742
0.0% 1.0%
1.8 6.7
over 3 years ago about 2 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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GPflowOpt

Posts with mentions or reviews of GPflowOpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-05.
  • [D] Choosing best parameters from an optimization
    3 projects | /r/MachineLearning | 5 Jun 2021
    1- Hyperparameter optimization as already suggested by u/sener87 but I think your validation does not have to be change as it tests generalization as far as I understand you right. If you have more parameter/larger search space, you may look into Bayesian optimization for this task as implemented e.g. with tensorflow, torch or numpy frameworks.

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 GPflowOpt and nni you can also consider the following projects:

modAL - A modular active learning framework for Python

optuna - A hyperparameter optimization framework

agents - TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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

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

autogluon - Fast and Accurate ML in 3 Lines of Code

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

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

tsflex - Flexible time series feature extraction & processing

LightAutoML - LAMA - automatic model creation framework

GPflowOpt vs modAL nni vs optuna GPflowOpt vs agents nni vs FLAML GPflowOpt vs Hyperactive nni vs autogluon nni vs AutoML nni vs hyperopt nni vs archai nni vs automlbenchmark nni vs tsflex nni vs LightAutoML