nni VS FLAML

Compare nni vs FLAML and see what are their differences.

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nni FLAML
5 9
13,663 3,618
0.9% 2.8%
6.7 8.3
22 days ago 6 days ago
Python Jupyter Notebook
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.
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.

FLAML

Posts with mentions or reviews of FLAML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

automlbenchmark - OpenML AutoML Benchmarking Framework

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

tsflex - Flexible time series feature extraction & processing

LightAutoML - LAMA - automatic model creation framework

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.