Our mission is to leverage deep learning to decode ocean health factors, focusing on fisheries and their ecosystems. We aim to bridge the gap between complex oceanic data and actionable insights for sustainable marine management.
This project is licensed under the Apache License 2.0. This means:
- You can freely use, modify, and distribute this software.
- You must include the license and copyright notice with each distribution.
- You can use the software for commercial purposes.
- You cannot hold the authors liable for damages.
- Modifications must be documented.
For the full license text, please see the LICENSE file in this repository.
We actively conduct research and collaborate on our Discord channel. Join us to participate in discussions, share ideas, and contribute to ongoing projects related to ocean health and fisheries.
Our fellowship operates on a weekly cycle:
- Monday: Scrum call (10:00 AM EST) - Week kickoff and project updates
- Tuesday-Thursday: Active research and development
- Friday: Check-in call (10:00 PM EST) - Progress review and planning
The New Atlantis Labs Ocean Data Fellowship focuses on:
- Developing deep learning models for ocean health analysis
- Translating complex data into actionable insights for fishery management
- Promoting open-source collaboration in marine science
- Python 3.8+
- TensorFlow 2.x
- PyTorch 1.x
- Pandas, NumPy, Matplotlib