Call for project for 2024 season is now opened! Contact us to get the detailed information.





Welcome to the Challenge Data website!

Each year, we organize machine learning challenges from data provided by public services, companies and laboratories: general documentation and FAQ. Seasons begin in January; the challenges are introduced in the context of Stéphane Mallat's lesson at the Collège de France.
A prize ceremony for the best participants of the preceding season will be held in February at the College de France (03/02/2022).

For participants

Guide to create an account, choose your challenges and submit solutions.

For professors

Guide to create a course project from selected challenges and to follow student progresses.

For Challenge providers

If you are interested in organizing a challenge with us, do not hesitate to contact us!
Each year, we organize a call for projects during the summer. Projects are selected and beta-tested between september and december, and launched in january. Relevant information can be found in the providers guide.

About us

Challenge Data is managed by  the Data team (ENS Paris), in partnership with the Collège de France and the DataLab at Institut Louis Bachelier.
It is supported by the CFM chair, the PRAIRIE Institute and IDRIS from CNRS.



🕹 Challenges of the 2023 season 🕹


Colloids: How small can we go?
Competitive challenge
Physics
Regression
Few-shots to learn anatomic structures in radiology
Competitive challenge
Biology
Health
Segmentation
How to detect a niche of fraudsters?
Competitive challenge
Economic sciences
Finance
Classification
Detecting PIK3CA mutation in breast cancer
Competitive challenge
Biology
Health
Classification
Can you explain the price of electricity?
Competitive challenge
Physics
Finance
Environment
Regression
Robustness to distribution changes and ambiguity
Competitive challenge
Classification
Real-time train crowding forecasting
Competitive challenge
Industrial
Environment
Regression
Precipitation Nowcasting
Competitive challenge
Physics
Environment
Regression
ESG indicators missing value estimation
Competitive challenge
Economic sciences
Finance
Regression
Can you retrieve the Table of Content?
Competitive challenge
Economic sciences
Finance
Classification
Biosonar - Odontoceti Click Detection
Competitive challenge
Biology
Oceanography
Classification
Prediction of daily stock end-of-day movements on the US market
Competitive challenge
Economic sciences
Finance
Classification
Reinforcement Learning for low carbon buildings
Competitive challenge
Physics
Environment
Reinforcement learning