dutraluiz's Stars
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
keras-team/autokeras
AutoML library for deep learning
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
automl/auto-sklearn
Automated Machine Learning with scikit-learn
KenneyNL/Adobe-Alternatives
A list of alternatives for Adobe software
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
gempy-project/gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
cvxgrp/pymde
Minimum-distortion embedding with PyTorch
zsylvester/segmenteverygrain
A SAM-based model for instance segmentation of images of grains
automl/autoweka
Auto-WEKA
petrelli-m/python_earth_science_book
ip200/venn-abers
Python implementation of binary and multi-class Venn-ABERS calibration
laic-ufmg/Recipe
Automated machine learning (AutoML) with grammar-based genetic programming
zsylvester/stratigraph
A set of tools for visualizing stratigraphic models
michaelgreenacre/CODAinPractice
Compositional Data Analysis in Practice
dhasterok/global_geochemistry
A global geochemistry dataset for rocks
InTRA-USP/IntraSOM
Self-Organizing Maps library of the InTRA research center.
Omicometrics/pypls
Implementation of PLS-DA and OPLS-DA for high dimensional data, like MS in metabolomics.
se-jaeger/conformal-data-cleaning
Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance"
corinjorgenson/RandomForest-cpx-thermobarometer
MinPlot/MinPlot_Program
Current stable version of MinPlot release 1.1. Please check the issues tab for any recent bugs and fixes. Published version (v1.0) is listed under releases.
matejklemen/deep-rf
Implementation of deep random forests. Also contains random subspace forests and X-of-N forests.
dpanagop/data_analytics_examples
PennyWieser/DiadFit
A python package for fitting Fermi Diads, Ne lines, and other things relating to Raman analyses of CO2 fluids
Japal/zCompositions
Imputation of zeros, nondetects and missing data in compositional data sets
kshedden/gee_workshop
Materials for a CSCAR workshop on generalized estimating equations (GEE)
Peng2001200173/Supplementary_Material