Python probabilistic PCA (PPCA) implementation.

Python implementation of RJMCMC for parameter estimation and order determination of INARMA(p,q) models

An implementation of the Hoshen-Kopelman Algorithm for cluster labelling in one-dimensional and two-dimensional matrices.

A MATLAB package for energy minimization in Markov random field using Graph Cuts.

Ising model implementation in Python. Metropolis and Swendsen Wang algorithm.

A friendly python library for fuzzy logic reasoning

A Python library that helps data scientists to infer causation rather than observing correlation.

Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scikit-learn style API.

Bayesian Networks in Python

pyagsapi - An AGS Utilities API with AGS v4.x Schema Validation & Converter for .ags<-->.xslx files

Multichain MCMC framework and algorithms based on PyMC.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Matlab research tools to read, write and process seismic data

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

DAFI: Ensemble based data assimilation and field inversion, repository for internal development

Geophysical Tutorials for 2015

Geophysical Tutorials column for 2017

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A library to read and write AGS4 files using Pandas DataFrames

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Python3 project applying Gaussian process regression for forecasting stock trends

Depth integrated modelling of submarine landslide with weak layer

A LaTeX template for academic monographs (e.g., dissertations and thesis). This template serves both beginners and proficient LaTeX users.

This is for AI prediction using seismic attributes

Reversible Jump MCMC Code for UiT MLG Summer Internship 2020 and Master's Thesis Project 2020-2021

High Performance Seismologic Data and Metadata Processing System

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A python tutorial on bayesian modeling techniques (PyMC3)