Stars
This package contains the original 2012 AlexNet code.
Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.
The first realistic and public dataset with rare undesirable real events in oil wells.
Deep learning framework for optical granulometry (estimation of sedimentological variables from sediment imagery)
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
Uncomplicated Observability for Python and beyond! 🪵🔥
The official Python SDK for Model Context Protocol servers and clients
Comparative evaluation for seismic AI models
Agent Framework / shim to use Pydantic with LLMs
An efficient few-shot segmentation diffusion model for seismic facies classification
Seismic and geophysical datasets collected from various sources and unified under huggingface datasets
Seismic Foundation Model
A workflow is proposed to efficiently adapt foundation models for cross-domain and cross- task applications in geophysics.
Model architecture for the ThinkOnward Geophysical Foundation Model
Get your documents ready for gen AI
Helpful tools and examples for working with flex-attention
Reservoir simulation in Julia: Multi-phase, multi-component Darcy flow based on Jutul.jl
Seamlessly integrate pydantic models in your Sphinx documentation.
Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, pe…
A two phase Fourier neural operator based model for predicting pressures and saturations in porous media
An implementation of the randomize-then-optimize algorithm