automl VS FLAML

Compare automl vs FLAML and see what are their differences.

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automl FLAML
5 7
5,143 2,054
1.0% 4.6%
6.2 8.4
9 days ago 6 days ago
Jupyter Notebook Jupyter Notebook
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.
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.


Posts with mentions or reviews of automl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-13.


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 2022-09-05.

What are some alternatives?

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

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

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

Made-With-ML - Learn how to responsibly deliver value with machine learning.

nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

FEDOT - Automated modeling and machine learning framework FEDOT

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

gpt-3 - GPT-3: Language Models are Few-Shot Learners