nni VS autogluon

Compare nni vs autogluon and see what are their differences.

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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autogluon

AutoGluon: Fast and Accurate ML in 3 Lines of Code (by autogluon)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series Forecasting
Source Code
auto.gluon.ai
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nni autogluon
5 8
13,708 7,050
0.8% 2.7%
6.7 9.6
about 1 month ago 2 days ago
Python Python
MIT License Apache License 2.0
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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.

autogluon

Posts with mentions or reviews of autogluon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

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

autokeras - AutoML library for deep learning

auto-sklearn - Automated Machine Learning with scikit-learn

imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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

automlbenchmark - OpenML AutoML Benchmarking Framework

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

nni vs optuna autogluon vs FLAML autogluon vs autokeras autogluon vs auto-sklearn nni vs FLAML autogluon vs imbalanced-regression autogluon vs tabnet nni vs AutoML autogluon vs automlbenchmark nni vs hyperopt autogluon vs pytorch-metric-learning autogluon vs shapley