Crowdsourcing AI to solve real-world problems

AIcrowd enables data science experts and enthusiasts to collaboratively solve real-world problems, through challenges.

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Round 2: Completed

NeurIPS 2020: Procgen Competition

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

1 Authorship/Co-Authorship

Misc Prizes : To be announced

#neurips #reinforcement_learning

OpenAI

Challenge: 4 days left

#educational #cv #chess

AIcrowd

AMLD 2021 Warm-Up: 15 days left

#neurips #reinforcement_learning

SNCF

SBB

Deutsche Bahn

Round 1: 15 days left

#reinforcement_learning #classroom

AIcrowd

Dr Derk

Round 4: 10 hours left

#supervised_learning #instance_segmentation

Seerave Foundation

Market simulation competition : 7 days left

Insurance pricing game

Play in a realistic insurance market, compete for profit!

$12,000 USD Prize Money

#supervised_learning #educational #insurance

Imperial CPG

Round 2: Completed

#neurips #reinforcement_learning

MineRL Labs - Carnegie Mellon University

Round 3: Completed

Learning to Smell

Predicting smell of molecular compounds

CHF 6000 Prize Money

#fragrance

Firmenich

Round 1: Completed

Hockey: Player localization

$5,000 USD Prize Money

#classroom #hockey #computer_vision #localization

HAC Software Inc

"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 5 months ago

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AIcrowd Showcase

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12	Right fingerprint is all you need By lacemaker 5 months ago	0
2	FastAI state of art out of box implementation By pyanishjain 5 months ago	0
4	SMILESVec package to train a fully-connected neural network By casvanboekholdt 5 months ago	0
4	Tutorial on how to build a baseline logistic regression model By tomtom 5 months ago	0