Probabilistic reasoning and statistical analysis in TensorFlow

Curated from repositories that make our lives as reservoir engineers and geoscientists easier or just more awesome

Python utilities for reservoir engineering calculations

Python script that fits rheological models to viscometer measurements of stress vs. strain rate

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

NOMAD - A blackbox optimization software

Adjoint code for permeability using MATLAB Reservoir Simulation Toolbox (MRST)

A numerical code to solve flow and transport in fractured porous media by the embedded discrete fracture method

Thermo-Hydraulic Energy Resource Modelling for Application and Development and is a MATLAB program solving flow and heat transport in fractured porous media using the embedded discrete fracture method

Google Research

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Machine Learning University: Accelerated Tabular Data Class

MacOS system extension that allows applications to pass audio to other applications.

Machine Learning Pipelines for Kubeflow

Fast and flexible AutoML with learning guarantees.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Parallel Asynchronous Particle swarm optimization (PAPSO)

Cosmo++ is a cosmology library containing a mixture of frequently used functionalities.

Deep learning library featuring a higher-level API for TensorFlow.

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.

Ert has been split into three repositories, libecl, libres, and ert, and now lives at Equinor's GitHub organization — https://github.com/equinor/libecl | https://github.com/equinor/libres | https:/…

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.