RosIA

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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.
data-science machine-learning computer-vision geoscience image-segmentation kerogen-analysis sedimentary-rocks hydrocarbon-exploration reflective-microscopy
Python
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MIT License
•0•1•0•0•Updated Jul 18, 2024Jul 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.
challenge machine-learning deep-learning geophysics earth-sciences co2-sequestration data-interpretation 3d-seismic-data-analysis multi-layer-segmentation meta-sam
Jupyter Notebook
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MIT License
•1•4•0•0•Updated Apr 23, 2024Apr 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.
deep-learning satellite-imagery agricultural-modelling meteorological-data multimodal-deep-learning agriculture-data microsoft-planetary-computer 2023-ey-open-science-data-challenge crop-forecasting
Jupyter Notebook
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MIT License
•3•18•0•0•Updated Apr 16, 2024Apr 16, 2024
.github
Public
0•0•0•0•Updated Mar 28, 2024Mar 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.
machine-learning xgboost lightgbm catboost crop-yield-prediction wandb zindi-competition digital-green-crop-yield-estimate-challenge
Python
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MIT License
•1•12•0•0•Updated Mar 28, 2024Mar 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.
computer-vision lightning deep-learning image-processing pytorch deeplearning cookiecutter-template sentinel-2 multimodal multimodal-deep-learning
Jupyter Notebook
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MIT License
•0•8•0•0•Updated Mar 28, 2024Mar 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.
data-science machine-learning computer-vision deep-learning geophysics snn siamese-neural-networks seismic-data-analysis geological-feature-recognition
Python
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MIT License
•0•1•0•0•Updated Mar 28, 2024Mar 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.
deep-learning pytorch kaggle artificial-intelligence kaggle-competition kaggle-dataset segmentation-models efficientunet pytorch-lightning wandb
Jupyter Notebook
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MIT License
•0•4•0•0•Updated Feb 18, 2024Feb 18, 2024