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Python package to Create, Read, Write, Edit, and Visualize GSFLOW models
Training materials for the MODFLOW 6 and FloPy workshop offered at the 2024 Modflow and More Conference at Princeton University
python-based predictive groundwater modeling workflow examples
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
A Python package to create, run, and post-process MODFLOW-based models.
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
Graph Neural Network Library for PyTorch
Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.
LoopStructural is an open-source 3D structural geological modelling library.
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Open-source Python package for Hierarchical Bayesian inversion of global variables and large-scale spatial fields.
Data Science for the Geosciences
Stochastic geological surface modeling
Tools to Design or Visualize Architecture of Neural Network
Bayesian Data Analysis course at Aalto
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Python Simulation Tool for Fractured and Deformable Porous Media
Geostatistical tools and demos for ice sheet analysis
Demonstration for Mobius transformations on images
Keras implementation of Deeplab v3+ with pretrained weights
Probabilistic reasoning and statistical analysis in TensorFlow
Layers Outputs and Gradients in Keras. Made easy.
Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793