Sheng154

probabilistic-pca

Python probabilistic PCA (PPCA) implementation.

INARMA_RJMCMC_py

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

Hoshen-Kopelman-Algorithm

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

MRF-ENERMIN

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

Ising_Model-CP2

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

simpful

A friendly python library for fuzzy logic reasoning

causalnex

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

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pyBN

Bayesian Networks in Python

pyagsapi

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

multichain_mcmc

Multichain MCMC framework and algorithms based on PyMC.

ChatPaper

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

SeismicLab

Matlab research tools to read, write and process seismic data

GSTools

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

DAFI

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

First-Order-Reliability-methods-MATLAB

tutorials-2015

Geophysical Tutorials for 2015

tutorials-2017

Geophysical Tutorials column for 2017

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

python-ags4

A library to read and write AGS4 files using Pandas DataFrames

gp_regression

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

GaussianProcesses

Python3 project applying Gaussian process regression for forecasting stock trends

TranSliM

Depth integrated modelling of submarine landslide with weak layer

novathesis

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

AI_ML_Seismic_Log

This is for AI prediction using seismic attributes

RJMCMC

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

hiperseis

High Performance Seismologic Data and Metadata Processing System

reinforcement-learning

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

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)