AutoGluon Profile
AutoGluon

@autogluon

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Fast and Accurate ML in 3 Lines of Code #AutoML #opensource

pip install autogluon
Joined December 2020
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@innixma
Nick Erickson
3 months
๐Ÿ’ฅ Tabular ML just got a massive upgrade. ๐Ÿš€ AutoGluon 1.4.0 is here โ€” our biggest release yet. ๐Ÿ”ฅ Extreme Preset โ†’ biggest performance leap ever ๐Ÿง  5 new SOTA models ๐Ÿค– MLZero 1.0 (zeroโ€‘code multimodal AutoML) ๐Ÿ“Š TabArena benchmark โšก Time series speedups
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@innixma
Nick Erickson
4 months
๐Ÿšจ Join us tomorrow at the 1st ICML Workshop on Foundation Models for Structured Data! ๐Ÿ“… July 18 | โฐ 9 AM - 5 PM ๐Ÿ“ West Ballroom D ๐ŸŽ‰ 70 accepted papers ๐ŸŽค 8 spotlight orals ๐ŸŒŸ 6 invited talks from top experts in tabular & timeseries data! #ICML2025 #FMSD
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@DHolzmueller
David Holzmรผller
5 months
I'm excited to see RealMLP on top of the full TabArena leaderboard! The RealMLP version in TabArena uses an improved hyperparameter search space, which I designed on other benchmarks and (mostly) before I was invited as a co-author of TabArena. Here are some thoughts: ๐Ÿงต
@LennartPurucker
Lennart Purucker
5 months
๐ŸšจWhat is SOTA on tabular data, really? We are excited to announce ๐—ง๐—ฎ๐—ฏ๐—”๐—ฟ๐—ฒ๐—ป๐—ฎ, a living benchmark for machine learning on IID tabular data with: ๐Ÿ“Š an online leaderboard (submit!) ๐Ÿ“‘ carefully curated datasets ๐Ÿ“ˆ strong tree-based, deep learning, and foundation models ๐Ÿงต
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@LennartPurucker
Lennart Purucker
5 months
๐ŸšจWhat is SOTA on tabular data, really? We are excited to announce ๐—ง๐—ฎ๐—ฏ๐—”๐—ฟ๐—ฒ๐—ป๐—ฎ, a living benchmark for machine learning on IID tabular data with: ๐Ÿ“Š an online leaderboard (submit!) ๐Ÿ“‘ carefully curated datasets ๐Ÿ“ˆ strong tree-based, deep learning, and foundation models ๐Ÿงต
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@innixma
Nick Erickson
5 months
With TabArena, we are able to ensemble the results of all methods together, strongly outperforming all previous approaches, including the state-of-the-art, AutoGluon. The next release of AutoGluon, we plan to incorporate methods such as RealMLP to achieve a new SOTA. 2/
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@innixma
Nick Erickson
5 months
We put all the best practices for tabular data benchmarking in one place to make TabArena, a living benchmark for tabular data. Compare with the very best implementations of state-of-the-art methods out of the box! Here are my thoughts: ๐Ÿงต
@LennartPurucker
Lennart Purucker
5 months
๐ŸšจWhat is SOTA on tabular data, really? We are excited to announce ๐—ง๐—ฎ๐—ฏ๐—”๐—ฟ๐—ฒ๐—ป๐—ฎ, a living benchmark for machine learning on IID tabular data with: ๐Ÿ“Š an online leaderboard (submit!) ๐Ÿ“‘ carefully curated datasets ๐Ÿ“ˆ strong tree-based, deep learning, and foundation models ๐Ÿงต
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@innixma
Nick Erickson
5 months
Less than 2 weeks left to submit to the AutoML 2025 Non-archival track! We are looking for (1) journal/conference papers, (2) original 4-page papers, and (3) non-traditional content on the topic of AutoML. Details:
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@innixma
Nick Erickson
6 months
Deadline Extended to May 23rd AoE for the Foundation Models for Structured Data #ICML2025 workshop to better accomodate those with NeurIPS paper submissions! If you have a paper on structured FMs at NeurIPS, consider submitting to the FMSD workshop!
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@MononitoGoswami
Mononito Goswami
6 months
๐Ÿšจ Final countdown: Submissions for our @icmlconf '25 Workshop on Foundation Models for Structured Data close today (May 19) at 11:59 PM AoE โฐ. We're excited to see your best work! Submit now: https://t.co/tELBRPcO5E
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@innixma
Nick Erickson
6 months
Today is the last day to submit papers to the Foundation Models for Structured Data (FMSD) Workshop at ICML 2025! Deadline is May 19th, 11:59 PM AoE! Submit your short-form 4 page papers that delve into the emerging structured data foundation model field.
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@innixma
Nick Erickson
6 months
๐Ÿš€ AutoGluon 1.3 is out! โœ… Stability & usability improvements ๐Ÿ”ฅ AutoML Benchmark 2025: AutoGluon is SOTA in tabular ML ๐Ÿง  Huge boost to Multimodal with "Bag of Tricks" ๐Ÿ“ฆ Major refactors, bug fixes, and 140+ commits from 20 contributors! https://t.co/gKPmRDpO2n
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github.com
Version 1.3.0 We are happy to announce the AutoGluon 1.3.0 release! AutoGluon 1.3 focuses on stability & usability improvements, bug fixes, and dependency upgrades. This release contains 144 co...
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@innixma
Nick Erickson
8 months
๐Ÿ“ข We are excited to announce "#FMSD: 1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025! Call for Papers: https://t.co/GwnimFbpPb
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@AutomlSeminar
AutoML Seminar
9 months
Really great talk by Oleksandr from the @autogluon team on #Chronos, an new foundation model for #timeseries:
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@automl_conf
AutoML_conf
8 months
The #AutoMLConf deadline was extended! Weโ€™re looking for groundbreaking contributions in #AutoML, NAS, LLMs, agent-based systems, hyperparameter optimization, benchmarking, algorithm selection, and more. Donโ€™t miss your chance to showcase your work in #NYC! ๐Ÿ“… Deadline: March 31
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@innixma
Nick Erickson
8 months
๐Ÿ“ข Exciting news! #AutoML2025 introduces a Non-Archival Track to spotlight engaging, impactful, and creative content! Submit short papers, journal papers, interactive demos, videos, blog posts, surveys & more! Deadline: June 16th AoE Details ๐Ÿ‘‰ https://t.co/v7YhfBpGUp #AutoML
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@innixma
Nick Erickson
10 months
โ€ผ๏ธNow things are getting interesting :). This is exceptional work that is going to push the tabular data field forward massively. We integrated TabPFN into AutoGluon starting in our v1.2 release with TabPFNMix, and I suspect this trend will continue with TabPFNv2! Time to code.
@FrankRHutter
Frank Hutter
10 months
The data science revolution is getting closer. TabPFN v2 is published in Nature: https://t.co/Ybb15pnZ5P On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours๐Ÿงต1/19
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@innixma
Nick Erickson
1 year
๐Ÿš€ AutoGluon 1.2 is here! Key highlights: 1. Tabular & TimeSeries: 70% win-rate over v1.1. 2. New Features: TabPFNMix foundation model, parallel fit, Chronos-Bolt (250x faster + accurate). 3. AutoGluon-Assistant: Zero-code ML with LLMs. #AutoML
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@gollum_here
Anirudh Dagar
1 year
๐Ÿš€ Become a Kaggle Grandmaster with Zero Code! Excited to announce the release ofย AutoGluon Assistantย (AG-A): An ML Assistant, powered byย AutoGluonย and LLMs, turn your natural language task descriptions into winning ML models. ~ Team @autogluon https://t.co/UGjOv1FBzz #AutoML
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github.com
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation - autogluon/autogluon-assistant
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@innixma
Nick Erickson
2 years
๐Ÿฅ‡๐Ÿฅˆ๐Ÿฅ‰AutoGluon was used in the 1st, 2nd, 3rd, and 4th place solutions to @kaggle's latest ML competition out of 2718 competitors!
kaggle.com
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@innixma
Nick Erickson
2 years
#AutoGluon 1.1 is live! ๐Ÿš€ Highlights: 1. โณChronosโŒ›๏ธ, a zero-shot forecasting model, is now natively integrated into AutoGluon, achieving a 60% win-rate vs the prior 1.0 release! Chronos has already been downloaded over 1.4 million times on HuggingFace, and we are excited to
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