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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Featured challenges
12 days left NeurIPS 2019 : MineRL Competition
Sample-efficient reinforcement learning in Minecraft
26.8k
797
25
NeurIPS 2019 - Robot open-Ended Autonomous Learning
Robots that learn to interact with the environment autonomously
4794
88
8
NeurIPS 2019: Learn to Move - Walk Around
Reinforcement Learning on Musculoskeletal Models
12.1k
205
259
NeurIPS 2019 : Disentanglement Challenge
Disentanglement: from simulation to real-world
14.2k
163
890
ICCV 2019: Learning-to-Drive Challenge
Immitation Learning for Autonomous Driving
1047
44
10
Flatland Challenge
Multi Agent Reinforcement Learning on Trains.
15.4k
242
98
"Crowdsourcing far exceeded our expectations - you not only get new solutions, but also a deeper insight to the problem you are trying to solve."
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.
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