219 Open source projects that are alternatives of or similar to PlateFlex

Teleseismic body wave modeling through stacks of (submarine/anisotropic) layers

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

Material for a workshop on Bayesian stats with R

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Material for a Bayesian statistics workshop

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

The Trendiness of Trends

The Mines Java Toolkit

MTfit code for Bayesian Moment Tensor Fitting

petgem is a parallel and high-order code for active-source (e.g. CSEM) and passive-source (e.g. MT) geophysics electromagnetic modeling in 3D arbitrary marine/land problems under anisotropic conductivities.

Stanマニュアルの日本語への翻訳プロジェクト

COVID-19 Coughs files for training AI models

Infer the gender of an individual based on their name.

Hierarchical, multi-label topic modelling with LDA

Machine Learning - accelerated Bayesian inference

A tool to show topo canvas with improved JTopo

Deodorant: Solving the problems of Bayesian Optimization

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Source code, data, and model results for "Fast non-linear gravity inversion in spherical coordinates with application to the South American Moho". Published in the Geophysical Journal International.

Pore pressure prediction using seismic velocity and well log data

An Open-Source Geophysical Python Library for Geoscience Prototype Research

Python module of seismology and receiver functions

An Elixir implementation of the CONREC algorithm for topographic or isochrone maps.

Data-driven Network-based Bayesian Inference of Drivers

Parallel nested sampling

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Implementation of normalising flows and constrained random variable transformations

Underworld Geodynamics

🌍 Python package of VTK-based algorithms to analyze geoscientific data and models

Generic Mapping Tools Library Wrapper for Julia

Probabilistic Programming with Gaussian processes in Julia

A common framework for implementing and using log densities for inference.

Generation of Synthetic Populations Library

A Latent Dirichlet Allocation implementation in Python.

A collection of Methods and Models for various architectures of Artificial Neural Networks

NOTICE: This library is no longer being developed. Use Ensaio instead (https://www.fatiando.org/ensaio). -- Download geophysical models/datasets and load them in Python

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

A didactic Gaussian process package for researchers in Jax.

Natural Gradient, Variational Inference

A Matlab borehole radar/seismic tomography package

Implementations of single and multi-ellipsoid nested sampling

Nested Sampling post-processing and plotting

Teleseismic receiver function calculation and post-processing

🐙 Generalized additive models in Python with a Bayesian twist

collection of notebook-apps for concepts in applied geophysics

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

No description or website provided.

Noisy network measurement with stan

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

X lines of Python

Bayesian inference for Gaussian mixture model with some novel algorithms