Owner
autogluon
6 indexed repositories · View on GitHub
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autogluon
Fast and Accurate ML in 3 Lines of Code
Python · 10656 stars
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autogluon-assistant
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
Python · 306 stars
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tabarena
A Living Benchmark for Machine Learning on Tabular Data
Python · 303 stars
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fev
Forecast evaluation library
Python · 173 stars
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autogluon-rag
Retrieval-Augmented Generation in 3 Lines of Code!
Python · 57 stars
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autogluon-cloud
Train and deploy ML models in the cloud
Python · 42 stars
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discussion enhancement help wanted module: tabular
autogluon/autogluon#370 · 1 comment · 3 reactions · 1 assignee ·
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dependency discussion enhancement env: new priority: 2
autogluon/autogluon#420 · 8 comments · 0 reactions · 0 assignees ·
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enhancement module: tabular
autogluon/autogluon#486 · 1 comment · 0 reactions · 1 assignee ·
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enhancement feature request module: tabular
autogluon/autogluon#492 · 7 comments · 0 reactions · 1 assignee ·
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API & Doc enhancement help wanted module: tabular
autogluon/autogluon#567 · 12 comments · 0 reactions · 0 assignees ·
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feature request help wanted module: tabular
autogluon/autogluon#569 · 18 comments · 5 reactions · 1 assignee ·
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feature request help wanted module: tabular
autogluon/autogluon#572 · 4 comments · 1 reaction · 0 assignees ·
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enhancement feature: distributed module: tabular
autogluon/autogluon#774 · 5 comments · 1 reaction · 1 assignee ·
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enhancement module: tabular question
autogluon/autogluon#856 · 4 comments · 0 reactions · 0 assignees ·
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bug enhancement module: tabular priority: 1
autogluon/autogluon#898 · 1 comment · 0 reactions · 0 assignees ·
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enhancement help wanted module: tabular priority: 2
autogluon/autogluon#899 · 0 comments · 0 reactions · 1 assignee ·
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bug module: tabular
autogluon/autogluon#994 · 2 comments · 0 reactions · 0 assignees ·
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enhancement feature request module: tabular
autogluon/autogluon#999 · 4 comments · 0 reactions · 0 assignees ·
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enhancement module: tabular
autogluon/autogluon#1009 · 0 comments · 0 reactions · 0 assignees ·
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API & Doc module: multimodal question
autogluon/autogluon#1011 · 6 comments · 0 reactions · 1 assignee ·
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enhancement module: tabular
autogluon/autogluon#1021 · 0 comments · 1 reaction · 0 assignees ·
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enhancement help wanted module: tabular
autogluon/autogluon#1025 · 0 comments · 0 reactions · 0 assignees ·
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enhancement module: multimodal priority: 1
autogluon/autogluon#1045 · 4 comments · 0 reactions · 2 assignees ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1046 · 3 comments · 0 reactions · 0 assignees ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1063 · 3 comments · 0 reactions · 0 assignees ·
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env: new help wanted question
autogluon/autogluon#1079 · 9 comments · 0 reactions · 0 assignees ·
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enhancement module: tabular
autogluon/autogluon#1124 · 0 comments · 0 reactions · 0 assignees ·
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enhancement: new task module: tabular priority: 2
autogluon/autogluon#1128 · 0 comments · 0 reactions · 0 assignees ·
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enhancement env: new module: tabular priority: 2
autogluon/autogluon#1155 · 4 comments · 0 reactions · 0 assignees ·
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Incremental Training Openquestion
autogluon/autogluon#1163 · 6 comments · 0 reactions · 0 assignees ·
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bug: unconfirmed question
autogluon/autogluon#1240 · 4 comments · 0 reactions · 1 assignee ·
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discussion enhancement
autogluon/autogluon#1254 · 12 comments · 11 reactions · 0 assignees ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1278 · 1 comment · 0 reactions · 0 assignees ·
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API & Doc priority: 2
autogluon/autogluon#1361 · 0 comments · 0 reactions · 1 assignee ·
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discussion
autogluon/autogluon#1368 · 20 comments · 9 reactions · 0 assignees ·
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Mlflow x Autogluon Openenhancement env: new
autogluon/autogluon#1404 · 3 comments · 16 reactions · 0 assignees ·
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API & Doc enhancement module: tabular priority: 1
autogluon/autogluon#1437 · 10 comments · 0 reactions · 1 assignee ·
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enhancement: new task module: multimodal
autogluon/autogluon#1455 · 1 comment · 0 reactions · 0 assignees ·
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module: multimodal module: tabular question
autogluon/autogluon#1540 · 2 comments · 0 reactions · 0 assignees ·
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Feature Request : benchmark optimal cpu count (physical cores or virtual cores) for sklearn models Openenhancement module: tabular
autogluon/autogluon#1548 · 2 comments · 0 reactions · 1 assignee ·
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enhancement module: tabular resource: GPU
autogluon/autogluon#1590 · 0 comments · 1 reaction · 0 assignees ·
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enhancement module: multimodal priority: 2
autogluon/autogluon#1621 · 0 comments · 2 reactions · 0 assignees ·
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enhancement module: tabular priority: 1
autogluon/autogluon#1654 · 0 comments · 0 reactions · 1 assignee ·
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API & Doc Needs Triage priority: 1 resource: GPU
autogluon/autogluon#1663 · 1 comment · 0 reactions · 1 assignee ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1667 · 0 comments · 1 reaction · 0 assignees ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1672 · 5 comments · 1 reaction · 0 assignees ·
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priority: 2
autogluon/autogluon#1736 · 0 comments · 0 reactions · 1 assignee ·
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enhancement module: tabular
autogluon/autogluon#1742 · 3 comments · 0 reactions · 0 assignees ·
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enhancement module: tabular priority: 2
autogluon/autogluon#1748 · 0 comments · 1 reaction · 1 assignee ·
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enhancement module: multimodal
autogluon/autogluon#1750 · 0 comments · 0 reactions · 0 assignees ·
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enhancement module: multimodal priority: 1
autogluon/autogluon#1799 · 1 comment · 2 reactions · 1 assignee ·
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enhancement module: tabular priority: 1
autogluon/autogluon#1829 · 0 comments · 4 reactions · 0 assignees ·
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enhancement module: multimodal
autogluon/autogluon#1853 · 2 comments · 0 reactions · 0 assignees ·
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bug module: multimodal Needs Triage resource: GPU
autogluon/autogluon#1940 · 3 comments · 0 reactions · 0 assignees ·
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API & Doc module: multimodal priority: 2
autogluon/autogluon#2048 · 0 comments · 0 reactions · 0 assignees ·