AIcrowd

Featured challenges

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Round 1: 114 days left

NeurIPS 2021 - The NetHack Challenge

ASCII-rendered single-player dungeon crawl game

15000 Prize Money

1 Authorship/Co-Authorship

#neurips #reinforcement_learning

AIcrowd

Facebook AI Research (FAIR)

Round 1: 100 days left

NeurIPS 2021: MineRL Diamond Competition

Training sample-efficient agents in Minecraft

#neurips #reinforcement_learning #imitation_learning

MineRL Labs - Carnegie Mellon University

Round 2: 38 days left

Music Demixing Challenge @ISMIR 2021

10,000 CHF Prize Money

#music

Sony Group Corporation

Round 1: 14 days left

Airborne Object Tracking Challenge

$ 50,000 Prize Money

#benchmark #object_detection

Amazon Prime Air

Challenge: Completed

ADDI Alzheimers Detection Challenge

$ 50,000 Prize Money

Misc Prizes : PS5, X-Box Series X, DJI Mavic Mini 2, Oculus Quest 2

ADDI

AI Blitz #9: 7 days left

AI Blitz #9

5 Puzzles 21 Days. Can you solve it all?

$ 400 Prize Money

#educational #blitz

AIcrowd

Round 1: 12 days left

Global Wheat Challenge 2021

$ 4000 Prize Money

University of Saskatchewan

Round 2: Completed

NeurIPS 2020: Procgen Competition

Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

$ 9000 Prize Money

1 Authorship/Co-Authorship

Misc Prizes : $ 34,000 AWS Credits

#neurips #reinforcement_learning

OpenAI

Market simulation competition : Completed

Insurance pricing game

Play in a realistic insurance market, compete for profit!

$12,000 USD Prize Money

#supervised_learning #educational #insurance

Imperial CPG

"Crowdsourcing far exceeded our expectations - you not only get new solutions, but also a deeper insight to the problem you are trying to solve."

Erik Nygren, Deep Learning and Artificial Intelligence Research, SBB CFF FFS

Thanks to the agile structure of the platform, it was easy to design an ML challenge outside of the standard framework of the training/test data challenges. For new challenges, I would choose AIcrowd over other platforms.

Łukasz Kidziński, Postdoctoral Researcher, Stanford

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Office hours on Discord every Wednesday 10:00 PM IST By vrv 9 months ago

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Submission questions By yauhen_babakhin 14 days ago

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Trying to print out natural-language glyph meanings By paulkentum About 6 hours ago

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Getting error "failed to load artifacts" while Submitting By anurag_maji About 13 hours ago

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AIcrowd Showcase

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2	Different methods in NLP feature Engineering By sean_benhur Yesterday	0
1	EDA By aman_patkar Yesterday	0
1	Emotion_Detection_Using Machine learning By aman_patkar 2 days ago	0
1	Dataset walkthrough using helper scripts By shivam 6 days ago	0