imbalanced-regression VS autogluon

Compare imbalanced-regression vs autogluon and see what are their differences.

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imbalanced-regression autogluon
1 1
341 4,042
- 5.7%
5.5 9.2
about 2 months ago 7 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.

imbalanced-regression

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

autogluon

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

What are some alternatives?

When comparing imbalanced-regression and autogluon you can also consider the following projects:

FLAML - A fast library for AutoML and tuning.

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

autokeras - AutoML library for deep learning

auto-sklearn - Automated Machine Learning with scikit-learn

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

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

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

automlbenchmark - OpenML AutoML Benchmarking Framework

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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

Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

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