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acolite

ACOLITE: generic atmospheric correction module

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bees-bats-fireflies

Implementation of three nature-inspired search algorithms: Bees Algorithm, Bat Algorithm, and Firefly Algorithm

canonical-correlation-forest

Scikit-Learn-Contrib compatible implementation of the Canonical Correlation Forest algorithm

ccfs-python-fork1

Canonical Correlation Forests (CCFs) in python

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

feature-selection-with-firefly-algorithm

Feature selection with Firefly Algorithm

gee-mapping-source

source code for google earth engine mapping routines

geoai_plugin

Plugin para ejecutar el modelo de META Segment Anything en QGIS

global_optimization

Heuristic global optimization algorithms in Python

gmw_simard_etal_srtm_agb

Implementation of the Simard et al., SRTM based estimation of mangrove height and above ground biomass

hoangsa_truongsa

hyperactive

A hyperparameter optimization and meta-learning toolbox for convenient and fast prototyping of machine-/deep-learning models.

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

image

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

mealpy

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

mealpy-feature-selection

The largest library developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

metal

mgbdt

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

niaaml

Python automated machine learning framework.

niapy

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

oceanrs_forum

optuna-examples

Examples for https://github.com/optuna/optuna

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

principles-of-machine-learning-python

Principles of Machine Learning Python

py_fs

A Python Package for Feature Selection

pysnic

Python implementation of the SNIC superpixels algorithm

pyswarm

Particle swarm optimization (PSO) that supports constraints