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3drcnn-lam

3drcnn_lam

CODE

3dresnetlam

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

bagging-pu-with-bo

PU learning in MPM

bartpy

Bayesian Additive Regression Trees For Python

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianlearning

Bayesian Machine Learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

c-g-pu-code

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

facies_classification_benchmark

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).

geobo

Python package for Multi-Objective Bayesian Optimisation and Joint Inversion

gocad_sg_grid_reader

Simple routine to read a GOCAD SG Grid in ASCII

gocad_ts-surface-reader

Script to retrieve the vertices and faces from a GOCAD TS file for use in python processing

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

leveljoiner

Worm level joiner for BSDWormer, along with other utility functions

lineamentlearning

Linear feature extraction from aerial and geological images.

machine-learning-and-geophysical-inversion

:earth_asia: The purpose of this repo is to reconstruct paper about machine learning and inversion. Tech stack: Jupyter Notebook, Google Colab, Python & TeX.

modeling-uncertainty-in-the-earth-sciences

teaching material for the book "Modeling Uncertainty in the Earth Sciences", Jef Caers, 2011.

mpm-by-ensemble-learning

code for Mineral prospectivity mapping of Au through ensemble learning algorithms in the Qingchengzi Pb-Zn-Ag-Au polymetallic district, China

probabilistic-machine-learning

Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...

ps-toolkit

Parsing Science Toolkit

pygilmi

Geophysical Inversion and Modeling Library :earth_africa:

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pymc3_models

quss

Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.