We are pleased to announce the DeepLearn 2026 Hackathon Competition, held as part of DeepLearn 2026 in Orléans, France, from July 20–24, 2026. The competition is open to all DeepLearn participants and focuses on applying machine learning techniques to realistic challenges from science and the humanities.
Anyone interested in learning more about machine learning and trying their hand at the competition is welcome. Participants are encouraged to self-organize into small teams or work independently on one or more challenges. Work can be completed on the participants' own schedules.
The challenges will be released two weeks before the school, on Monday, July 6. The official DeepLearn 2026 schedule lists four hackathon sessions. All times below are local time in Orléans (CEST):
| Date | Time | Session |
|---|---|---|
| Monday, July 20 | 18:00–19:00 | Hackathon session 1 |
| Tuesday, July 21 | 18:00–19:00 | Hackathon session 2 |
| Thursday, July 23 | 18:00–19:00 | Hackathon session 3 |
| Friday, July 24 | 13:15–16:00 | Hackathon session 4 |
- Zoom meeting room
- Shared hackathon Slack workspace (existing members; the workspace URL retains its original
deeplearn2025name) - Request a Slack invitation
- Pre-hackathon survey
- Post-hackathon survey
There are seven main challenges:
- Higgs Boson Challenge (classification)
- Particle Images Challenge (classification, computer vision)
- Strong Lensing Challenge (multi-class classification, super-resolution, computer vision)
- RenAIssance Challenge (NLP, transcription)
- NMR Spin Challenge (multi-target regression)
- Exoplanet Search Challenge (classification, image analysis)
- Quantum Machine Learning Challenge (anomaly detection, quantum computing)
Please find more details and example Jupyter notebooks inside each challenge folder.
Submission instructions and any deadline updates will be posted in the hackathon Slack workspace. The challenge winners will be announced by the end of August 2026.