ThinkOnward Challenges

Welcome to the ThinkOnward Challenges repository. This collection houses the results and starter notebooks for our exciting Challenges and Bounties focused on geoscience and energy analysis. Each Challenge or Bounty comes complete with a handy starter notebook, along with any required files or assets.

Winning submissions from our community are also included, organized by team name, so you can explore their creative solutions! 🏆✨

Feel free to check out the code and notebooks to learn more about these fascinating projects. Happy coding!

📄 Directory Structure

1. geoscience

   • Contains content focused on geoscience related Challenges.

2. energy-analysis

   • Includes Challenges related to energy data.

3. critical-minerals

   • Contains Challenge and Bounty materials related to critical minerals.

4. examples

   • Examples of final submissions and other useful things for Challenges.

🪨 Geoscience Challenges

dark-side

• A starter notebook for fault segmentation from seismic volumes and winning solutions for the Challenge

image-impeccable

• A starter notebook for seismic volume denoising and winning solutions for the Challenge

stranger-sections-2

• A comprehensive starter notebook with helper notebooks, checkpoints, and data

🔋 Energy Analysis Challenges

building-instinct

• A notebook to identify trends in building energy usage and winning solutions for the Challenge

spot-the-trend

• A starter notebook for detecting trends, with various sample submissions and a README detailing the project structure

ghosts-of-holidays-past

• A section containing scripts and notebooks related to energy forecasting using historical data, including data downloaders and winning solution notebooks

⛏️ Critical Minerals

tech-treasures

• A starter notebook for the Tech Treasures bounty

🧑‍🏫 Examples

final-submission

• An example of what the Challenges team expects for a final submission

This repository is organized into several sections, each focusing on different geoscience-related projects such as image analysis, energy forecasting, and more. Each project includes a starter notebook, utilities, and sometimes additional resources like checkpoints or datasets.

To get started with any of these projects, you will typically need to clone the repository and run the provided starter notebooks in your preferred environment (e.g., Jupyter). Make sure to install the dependencies listed in each requirements.txt file if necessary.

If you encounter any issues or have questions about a specific project, please open an issue on GitHub or a discussion on the forum