mango VS nni

Compare mango vs nni and see what are their differences.

mango

Parallel Hyperparameter Tuning in Python (by ARM-software)
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing Machine Learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
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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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mango nni
- 5
310 13,742
1.0% 0.5%
5.8 6.7
about 2 months ago about 2 months ago
Jupyter Notebook 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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mango

Posts with mentions or reviews of mango. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.

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 mango and nni you can also consider the following projects:

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

optuna - A hyperparameter optimization framework

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

autogluon - Fast and Accurate ML in 3 Lines of Code

neural-tangents - Fast and Easy Infinite Neural Networks in Python

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

Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

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

mango vs Hyperactive nni vs optuna mango vs machine_learning_basics nni vs FLAML mango vs vizier nni vs autogluon mango vs neural-tangents nni vs AutoML mango vs Bayesian-Optimization-in-FSharp nni vs hyperopt mango vs Spotify_Song_Recommender nni vs archai