Brick by Brick 2024

By UNSW Sydney

Automating Building Data Classification

Meta Comprehensive RAG Benchmark: KDD Cup 2024

By Meta

Improve RAG with Real-World Benchmarks

Amazon KDD Cup 2024: Multi-Task Online Shopping Challenge for LLMs

By Amazon Search

Revolutionise E-Commerce with LLM!

MeltingPot Challenge 2023

By AIcrowd Cooperative AI Foundation

Multi-Agent Dynamics & Mixed-Motive Cooperation

NeurIPS 2023 Citylearn Challenge

By AIcrowd Intelligent Environments Lab Energy Efficient Cities Initiative

Advanced Building Control & Grid-Resilience

HackAPrompt 2023

By AIcrowd Learn Prompting Towards AI Preamble

Trick Large Language Models

Amazon KDD Cup '23: Multilingual Recommendation Challenge

By Amazon Search

Shopping Session Dataset

NeurIPS 2022: CityLearn Challenge

By AIcrowd Intelligent Environments Lab

Using AI For Building’s Energy Management

Data Purchasing Challenge 2022

By Leibniz Centre for European Economic Research

What data should you label to get the most value for your money?

ESCI Challenge for Improving Product Search

By Amazon Search

Amazon KDD Cup 2022

HTREC 2022

By Ca' Foscari University of Venice, Italy

Improving the HTR output of Greek papyri and Byzantine manuscripts

Flatland 3

By AIcrowd SBB CFF FFS SNCF Deutsche Bahn

Multi-Agent RL for Trains

ADDI Alzheimers Detection Challenge

By ADDI

Machine Learning for detection of early onset of Alzheimers

AI Blitz #9

By AIcrowd

5 Puzzles 21 Days. Can you solve it all?

Flatland

By SNCF SBB Deutsche Bahn

Multi-Agent Reinforcement Learning on Trains

Food Recognition Challenge

By Seerave Foundation

A benchmark for image-based food recognition

NeurIPS 2019 : Disentanglement Challenge

By Max Planck Institute for Intelligent Systems

Disentanglement: from simulation to real-world

Flatland Challenge

By SBB

Multi Agent Reinforcement Learning on Trains.

Flatland AMLD 2021

By AIcrowd

Multi-Agent Reinforcement Learning on Trains

Forecasting Track: CityLearn Challenge

By AIcrowd Intelligent Environments Lab Energy Efficient Cities Initiative

Design Regression Models To Predict Load Profiles