pxuan19

pxuan19's Stars

• marceloprates/prettymaps

  A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

  Language:Jupyter Notebook11.2k8282527

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.6k1453361.4k

• DeqianBai/Hands-on-Machine-Learning

  A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

  Language:Jupyter Notebook1.5k714437

• mmaelicke/scikit-gstat

  Geostatistical variogram estimation expansion in the scipy style

  Language:Jupyter Notebook225158855

• Ziqi-Li/FastGWR

  Fast Geographically Weighted Regression (FastGWR)

  Language:Jupyter Notebook486719

• kiudee/bayes-skopt

  A fully Bayesian implementation of sequential model-based optimization

  Language:Python395406

• randlab/geone

  DeeSse interface, utilities and examples

  Language:Python3781011

• gsnrguo/QGIS-Geographical-detector

  QGIS plugin of geographical detector

  Language:Python28145

• driftingtides/hyvr

  A package for simulating hydrogeological virtual realities.

  Language:Python22466

• pat-s/pathogen-modeling

  Language:HTML20543

• frank-ceballos/Designing-A-Robust-Feature-Selection-Pipeline-

  Feature selection with Python

  Language:Python1514

• konstantinklemmer/sxl

  SXL: Spatially explicit learning of geographic processes with auxiliary tasks

  Language:Python14200

• deepak7376/robustbase

  A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)

  Language:Python13234

• Haozhe-Wang/Pareto-Based-Arti-cial-Bee-Colony-Optimization-Algorithm-for-Multi-Objective-Land-Use-Allocation

  Reference to A Knowledge-Informed and Pareto-Based Artificial Bee Colony Optimization Algorithm for Multi-Objective Land-Use Allocation (Lina Yang 1,2, Axing Zhu, Jing Shao and Tianhe Chi)

  Language:Python12113

• nbswords/Ranking-Titanic-with-Recursive-Feature-Elimination

  A practice of Recursive Feature Elimination (RFE) using Titanic dataset

  Language:Jupyter Notebook10201

• Bingbo-Gao/TPML

  The method puts forward a new way to integrate the spatial autocorrelation law and property similarity principle into one in a unified machine learning method.

  8102

• paquolalab/dRFEtools

  dynamic Recursive Feature Elimination tools

  Language:Python71

• ortont/iak3d

  Increment-averaged kriging for 3D prediction of soil properties

  Language:R5405

• simon-donike/Morans_I

  Using Python to calculate Moran's I from a TIFF-Image

  Language:Jupyter Notebook5101

• ThatGeoGuy/ENGO629-ROBPCA

  Examining some ideas using Robust PCA for my Estimation Class

  Language:Python5202

• ORTI3D/ORTI3D

  Language:Python3130

• Wayne-Bfx/sklearn-doc-zh

  Language:Python3201

• linghaol/StochasticSystem-Simulation-Project

  This project consists of 5 small simulation tasks, which involve Sampling, Inverse CDF method, K-means Clustering, EM algorithm, Monte Carlo and Simulated Annealing algorithm.

  Language:Python2101

• yao-yl/As-measurement-code

  Replication data and code for the manuscript: Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data.

  Language:R2201

• alexein777/K-MESA

  Advanced K-Means clustering algorithm using soft computing and regularization ideas

  Language:Jupyter Notebook1100

• ChanceQZ/SaptialSampling

  Spatial sampling and optimization method via Python

  Language:Python1100

• danglive/Optimization-tutorial

  Simple example of optimal algorithm

  Language:Jupyter Notebook1100

• mchao409/ORIE-4741-Class-Project

  Language:Jupyter Notebook10

• psychemistz/ovltools

  R package to compute distribution overlap between two sample distributions

  Language:R1100

• sheecegardezi/uncoverml

  Language:Jupyter Notebook1