173 Open source projects that are alternatives of or similar to CAST

Machine Learning in R

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

BAS R package https://merliseclyde.github.io/BAS/

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

An R package for space-time anomaly detection using scan statistics.

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

R wrapper for MLJAR API

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

Utility package to convert R data into JSON for use in htmlwidget mapping libraries

rFIA

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Kaggle Kernels (Python, R, Jupyter Notebooks)

Visual Relation Grounding in Videos (ECCV'20, Spotlight)

UFC bout winner prediction using neural nets.

German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks

Zinc is a C++ library for spatial processing.

sabre: Spatial Association Between REgionalizations

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

A grid for modelling, analyse, map and visualise multidimensional and multivariate data

[WIP] Spatial is a cross-platform C++ game engine.

R interface to GeoServer REST API

Official deegree repository providing geospatial core libraries, data access and advanced OGC web service implementations

Faster, better, smarter ecological niche modeling and species distribution modeling

Golang Sequel ORM that supports Enum, JSON, Spatial, and many more

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Cleaning geometries from spatial objects in R

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

Spatiotemporal resampling methods for mlr3

Boltzmann entropy of a landscape gradient

Python package for early warning signals (EWS) of bifurcations in time series data.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Tidy manipulation of spatial data

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Exemplary, annotated machine learning pipeline for any tabular data problem.

NHibernate.Spatial is a library of spatial extensions for NHibernate, and allows you to connect NHibernate to a spatially enabled database and manipulate geometries in Linq or HQL using NetTopologySuite, providing you with a fully integrated GIS programming experience.

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

Python utilities for Machine Learning competitions

A spatial search μlibrary powered by GameplayKit 👾

R engine to orchestrate and run (meta)data workflows

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

Efficient Algorithms for L0 Regularized Learning

Fast Geographically Weighted Regression (FastGWR)

Bayesian spatial analysis

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Statistical Inference and Sure Independence Screening via Ball Statistics

Research project

Predict time-series with one line of code.

This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.

GraphOfDocs: Representing multiple documents as a single graph

A lightweight package for accessing basemaps from open sources in R 🗺️

Magicverse SDK sample project

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Multi-time-horizon solar forecasting using recurrent neural network

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

An R 📦 to find, process, and describe "areas of interest"

Code, data and prose of the book: Spatial Microsimulation with R