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@association-rosia

RosIA

README.md

📝 Description

Discover RosIA, the association of Artificial Intelligence enthusiasts! 🚀 Our association, RosIA, brings together innovative minds around a captivating mission: to explore the horizons of AI together. 🤖💡 With our main mission being to provide our members with the necessary tools to materialize their Data Science projects, we aim to solve contemporary challenges using the most advanced AI technologies. Join us to shape the future of technology and be part of a vibrant and growing community! 🌟

📈 Career

At RosIA, we are committed to nurturing and developing the Artificial Intelligence (AI) skills of our members. By joining our stimulating challenges, our members benefit from a unique opportunity to enhance their expertise and accelerate their professional advancement in the field of AI. Join us today to take your career to new heights! 🚀

🌱 Environmental sustainability

At RosIA, we are determined to forge a more sustainable future. Aware of the energy challenges posed by AI, we carefully select the projects our members undertake. Our goal is to promote initiatives in the medical, scientific, cultural, and environmental fields. But our commitment goes further. We partner with sponsors who share our values. Today, we are proud to count among our partners 2CRSI and NVIDIA, committed to sustainable development. Join us in shaping a greener future together! 🌱

🌍 Social Impact

Join RosIA to contribute to the emergence of a more sustainable future through AI. We foster the professional advancement of our members through captivating challenges and projects focused on social innovation. By collaborating with committed partners such as 2CRSI and NVIDIA, we enhance our impact for a greener world. At RosIA, we value the work-life balance, creating a thriving community where well-being is paramount. Together, let's cultivate AI skills for positive and sustainable social impact.

Popular repositories Loading

  1. crop-forecasting crop-forecasting Public

    Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.

    Jupyter Notebook 18 3

  2. crop-yield-estimate crop-yield-estimate Public

    Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital G…

    Python 11 1

  3. flair-2 flair-2 Public

    Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ a…

    Jupyter Notebook 8

  4. vesuvius-challenge vesuvius-challenge Public

    Unveiling the secrets of an ancient library buried by Mount Vesuvius, this Kaggle competition, supported by the Vesuvius Challenge organization, tasked participants with detecting ink from 3D X-ray…

    Jupyter Notebook 3

  5. segmenting-subsurface segmenting-subsurface Public

    Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.

    Jupyter Notebook 3 1

  6. reflection-connection reflection-connection Public

    This repository hosts code and resources for a project using Siamese Neural Networks (SNN) for seismic data analysis in geophysics. The goal is to develop an algorithm that identifies and matches s…

    Python 1

Repositories

Showing 8 of 8 repositories
  • stranger-sections-2 Public

    Machine Learning challenge to classify and segment kerogen macerals in thin rock sections, using labeled and unlabeled images. Focused on identifying liptinite, vitrinite, and inertinite types, the competition emphasizes model accuracy measured by the Jaccard Score to enhance sedimentary rock analysis and hydrocarbon exploration.

    association-rosia/stranger-sections-2’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jul 18, 2024
  • segmenting-subsurface Public

    Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.

    association-rosia/segmenting-subsurface’s past year of commit activity
    Jupyter Notebook 3 MIT 1 0 0 Updated Apr 23, 2024
  • crop-forecasting Public

    Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.

    association-rosia/crop-forecasting’s past year of commit activity
    Jupyter Notebook 18 MIT 3 0 0 Updated Apr 16, 2024
  • .github Public
    association-rosia/.github’s past year of commit activity
    0 0 0 0 Updated Mar 28, 2024
  • crop-yield-estimate Public

    Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.

    association-rosia/crop-yield-estimate’s past year of commit activity
    Python 11 MIT 1 0 0 Updated Mar 28, 2024
  • flair-2 Public

    Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.

    association-rosia/flair-2’s past year of commit activity
    Jupyter Notebook 8 MIT 0 0 0 Updated Mar 28, 2024
  • reflection-connection Public

    This repository hosts code and resources for a project using Siamese Neural Networks (SNN) for seismic data analysis in geophysics. The goal is to develop an algorithm that identifies and matches similar seismic features, assisting geoscientists in interpreting subsurface geological structures.

    association-rosia/reflection-connection’s past year of commit activity
    Python 1 MIT 0 0 0 Updated Mar 28, 2024
  • vesuvius-challenge Public

    Unveiling the secrets of an ancient library buried by Mount Vesuvius, this Kaggle competition, supported by the Vesuvius Challenge organization, tasked participants with detecting ink from 3D X-ray scans of charred scrolls preserved in a Roman villa in Herculaneum.

    association-rosia/vesuvius-challenge’s past year of commit activity
    Jupyter Notebook 3 MIT 0 0 0 Updated Feb 18, 2024

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