autogluon VS imbalanced-regression

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

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autogluon imbalanced-regression
8 1
7,413 780
2.4% -
9.6 1.8
9 days ago over 2 years ago
Python 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.
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.

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.

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.

What are some alternatives?

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

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

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

autokeras - AutoML library for deep learning

pneumonia_detection - Pneumonia Detection using machine learning - with PyTorch

auto-sklearn - Automated Machine Learning with scikit-learn

healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

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

multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

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

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

automlbenchmark - OpenML AutoML Benchmarking Framework

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

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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