https://github.com/autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
13 of 135 committers (9.6%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.4%) to scientific vocabulary
Keywords
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Repository
Fast and Accurate ML in 3 Lines of Code
Basic Info
- Host: GitHub
- Owner: autogluon
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://auto.gluon.ai/
- Size: 22.6 MB
Statistics
- Stars: 9,369
- Watchers: 97
- Forks: 1,053
- Open Issues: 425
- Releases: 0
Topics
Metadata Files
README.md
## Fast and Accurate ML in 3 Lines of Code
[](https://github.com/autogluon/autogluon/releases)
[](https://anaconda.org/conda-forge/autogluon)
[](https://pypi.org/project/autogluon/)
[](https://pepy.tech/project/autogluon)
[](./LICENSE)
[](https://discord.gg/wjUmjqAc2N)
[](https://twitter.com/autogluon)
[](https://github.com/autogluon/autogluon/actions/workflows/continuous_integration.yml)
[](https://github.com/autogluon/autogluon/actions/workflows/platform_tests-command.yml)
[Installation](https://auto.gluon.ai/stable/install.html) | [Documentation](https://auto.gluon.ai/stable/index.html) | [Release Notes](https://auto.gluon.ai/stable/whats_new/index.html)
AutoGluon, developed by AWS AI, automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on image, text, time series, and tabular data.
💾 Installation
AutoGluon is supported on Python 3.9 - 3.12 and is available on Linux, MacOS, and Windows.
You can install AutoGluon with:
python
pip install autogluon
Visit our Installation Guide for detailed instructions, including GPU support, Conda installs, and optional dependencies.
:zap: Quickstart
Build accurate end-to-end ML models in just 3 lines of code!
python
from autogluon.tabular import TabularPredictor
predictor = TabularPredictor(label="class").fit("train.csv", presets="best")
predictions = predictor.predict("test.csv")
| AutoGluon Task | Quickstart | API |
|:--------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| TabularPredictor | 
|
| MultiModalPredictor | |
| TimeSeriesPredictor | |
:mag: Resources
Hands-on Tutorials / Talks
Below is a curated list of recent tutorials and talks on AutoGluon. A comprehensive list is available here.
| Title | Format | Location | Date | |--------------------------------------------------------------------------------------------------------------------------|----------|----------------------------------------------------------------------------------|------------| | :tv: AutoGluon: Towards No-Code Automated Machine Learning | Tutorial | AutoML 2024 | 2024/09/09 | | :tv: AutoGluon 1.0: Shattering the AutoML Ceiling with Zero Lines of Code | Tutorial | AutoML 2023 | 2023/09/12 | | :sound: AutoGluon: The Story | Podcast | The AutoML Podcast | 2023/09/05 | | :tv: AutoGluon: AutoML for Tabular, Multimodal, and Time Series Data | Tutorial | PyData Berlin | 2023/06/20 | | :tv: Solving Complex ML Problems in a few Lines of Code with AutoGluon | Tutorial | PyData Seattle | 2023/06/20 | | :tv: The AutoML Revolution | Tutorial | Fall AutoML School 2022 | 2022/10/18 |
Scientific Publications
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data (Arxiv, 2020) (BibTeX)
- Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation (NeurIPS, 2020) (BibTeX)
- Benchmarking Multimodal AutoML for Tabular Data with Text Fields (NeurIPS, 2021) (BibTeX)
- XTab: Cross-table Pretraining for Tabular Transformers (ICML, 2023)
- AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting (AutoML Conf, 2023) (BibTeX)
- TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications (Under Review, 2024)
Articles
- AutoGluon-TimeSeries: Every Time Series Forecasting Model In One Library (Towards Data Science, Jan 2024)
- AutoGluon for tabular data: 3 lines of code to achieve top 1% in Kaggle competitions (AWS Open Source Blog, Mar 2020)
- AutoGluon overview & example applications (Towards Data Science, Dec 2019)
Train/Deploy AutoGluon in the Cloud
- AutoGluon Cloud (Recommended)
- AutoGluon on SageMaker AutoPilot
- AutoGluon on Amazon SageMaker
- AutoGluon Deep Learning Containers (Security certified & maintained by the AutoGluon developers)
- AutoGluon Official Docker Container
- AutoGluon-Tabular on AWS Marketplace (Not maintained by us)
:pencil: Citing AutoGluon
If you use AutoGluon in a scientific publication, please refer to our citation guide.
:wave: How to get involved
We are actively accepting code contributions to the AutoGluon project. If you are interested in contributing to AutoGluon, please read the Contributing Guide to get started.
:classical_building: License
This library is licensed under the Apache 2.0 License.
Owner
- Name: autogluon
- Login: autogluon
- Kind: organization
- Repositories: 5
- Profile: https://github.com/autogluon
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nick Erickson | n****k@a****m | 729 |
| Oleksandr Shchur | s****o@a****m | 268 |
| Weisu Yin | w****y@a****m | 195 |
| Zhiqiang Tang | z****g@r****u | 189 |
| Alexander Shirkov | 1****y | 146 |
| Caner Turkmen | t****c@g****m | 101 |
| Xingjian Shi | x****b@c****k | 90 |
| Haoyang Fang | 1****u | 88 |
| Jonas Mueller | 1****r | 70 |
| Prateek M Desai | p****4@g****m | 60 |
| tonyhu | t****o | 58 |
| Hang Zhang | z****g@r****u | 44 |
| Su Zhou | z****u@a****m | 40 |
| Shuai Zhang | c****n@g****m | 32 |
| Liangfu Chen | l****c@a****m | 31 |
| cgraywang | w****u@g****m | 29 |
| gidler | g****r@a****m | 23 |
| Joshua Z. Zhang | c****h@g****m | 22 |
| mseeger | m****s@a****e | 22 |
| Razmik Melikbekyan | m****n@y****m | 20 |
| Yi Zhu | y****9@g****m | 19 |
| Richard Wang | y****w@a****m | 18 |
| Zihan Zhong | 5****h | 16 |
| Lennart Purucker | c****t@l****m | 13 |
| Abdul Fatir | A****s@g****m | 12 |
| Yiqing Shen | 4****s | 11 |
| XiaoLiang | 7****x | 10 |
| Taojiannan Yang | V****Y@G****M | 9 |
| Hang Zhang | h****s@a****m | 8 |
| Chongruo Wu | c****o@g****m | 8 |
| and 105 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 871
- Total pull requests: 1,687
- Average time to close issues: 6 months
- Average time to close pull requests: 13 days
- Total issue authors: 391
- Total pull request authors: 76
- Average comments per issue: 1.47
- Average comments per pull request: 2.35
- Merged pull requests: 1,320
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 293
- Pull requests: 781
- Average time to close issues: 17 days
- Average time to close pull requests: 5 days
- Issue authors: 130
- Pull request authors: 47
- Average comments per issue: 0.92
- Average comments per pull request: 1.74
- Merged pull requests: 588
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Innixma (176)
- shchur (59)
- tonyhoo (18)
- celestinoxp (18)
- Killer3048 (18)
- obwohl (13)
- canerturkmen (9)
- DAD-FOX (9)
- yinweisu (8)
- prateekdesai04 (7)
- Ai-Ya-Ya (7)
- suzhoum (7)
- gradientsky (7)
- rxjx (6)
- luochixq (6)
Pull Request Authors
- Innixma (409)
- shchur (348)
- tonyhoo (128)
- prateekdesai04 (119)
- canerturkmen (115)
- suzhoum (88)
- FANGAreNotGnu (61)
- zhiqiangdon (53)
- yinweisu (45)
- LennartPurucker (34)
- abdulfatir (28)
- Harry-zzh (25)
- gradientsky (17)
- FireballDWF (14)
- celestinoxp (14)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 23
-
Total downloads:
- pypi 1,669,695 last-month
- Total docker downloads: 4,958,235
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Total dependent packages: 65
(may contain duplicates) -
Total dependent repositories: 330
(may contain duplicates) - Total versions: 12,506
- Total maintainers: 6
- Total advisories: 1
pypi.org: autogluon.core
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.1.1
published over 1 year ago
Rankings
Maintainers (3)
pypi.org: autogluon.tabular
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.4.0
published 7 months ago
Rankings
Maintainers (3)
pypi.org: autogluon.common
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.4.0
published 7 months ago
Rankings
Maintainers (1)
pypi.org: autogluon.features
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.1.1
published over 1 year ago
Rankings
Maintainers (3)
pypi.org: autogluon
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.1.1
published over 1 year ago
Rankings
pypi.org: autogluon.multimodal
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.4.0
published 7 months ago
Rankings
Maintainers (1)
pypi.org: autogluon.vision
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
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Latest release: 0.6.2
published about 3 years ago
Rankings
Maintainers (1)
pypi.org: autogluon.text
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.6.2
published about 3 years ago
Rankings
Maintainers (1)
pypi.org: autogluon.timeseries
Fast and Accurate ML in 3 Lines of Code
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.4.0
published 7 months ago
Rankings
Maintainers (1)
proxy.golang.org: github.com/autogluon/autogluon
- Documentation: https://pkg.go.dev/github.com/autogluon/autogluon#section-documentation
- License: apache-2.0
-
Latest release: v1.4.0
published 7 months ago
Rankings
pypi.org: autogluon.eda
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.8.3
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: aglite-test.common
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.7.0b20230314
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: aglite-test.core
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.7.0b20230314
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: aglite-test.features
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.7.0b20230314
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: aglite-test.tabular
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.7.0b20230314
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: aglite-test
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/autogluon/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 0.7.0b20230314
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.features
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.multimodal
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.core
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.common
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.tabular
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago
Rankings
Maintainers (1)
pypi.org: autogluon-tonyhu-test.timeseries
AutoML for Image, Text, and Tabular Data
- Homepage: https://github.com/tonyhoo/autogluon
- Documentation: https://auto.gluon.ai
- License: Apache-2.0
-
Latest release: 1.0.5b20240302
published almost 2 years ago