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Showing 18 open source projects for "forest"
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Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for greater flexibility of use. -
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osm2xp
Generate X-Plane 11, 10 and 9 scenarios from OSM data
osm2xp 3.0 was forked from original osm2xp 2.0 created by Benjamin Blanchet The program takes PBF file with OSM data for some area as input and supports the generation of following based on it: * Buildings based on facades and 3D objects with differing residential, industrial, etc. * Forest zones with basic multipolygon support * Some objects by rules - cranes, towers... * Roads, with trying to select best matching road type, if lane count data is present in OSM * Railways * Power lines * Barriers, two types are supported - fence and wall * Water tanks, fuel tanks, gasometers * Chimneys, cooling towers - by inserting special objects with size closest to necessary * Airfields (apt.dat) with runways, helipads, and taxiways - starting from 3.5.0 The program requires Java 8 or newer to run. ... -
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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to... -
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BEAST
BEAST is a tool dedicated to assess political goals of woody bioenergy
...BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). The latter one is modelled spatially explicit. This opens the possibility to identify prefered areas for SRC production under different restrictions and goals. Forest wood and wood from outside forests are treated only aggregated. -
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This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.
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ApkFor 1.0
ApkFor helps to transfer forest growth and yield models using Android
ApkFor is a generic Open-Source Code for compiling an application for Android (2.2) to help to transfer growth and yield models of different forest species easily changing the code. ApkFor was developed by Fernando PÉREZ-RODRÍGUEZ (fernando.perez@fora.es) and Maria MENÉNDEZ-MIGUÉLEZ. The project and Code are Beta and could be improved and re-used by anyone. In this case cite font as follows: "PÉREZ-RODRÍGUEZ F., MENÉNDEZ-MIGUÉLEZ M. 2017. ApkFor: Project and Code. https://sourceforge.net/projects/apkfor/" This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 613762 -
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Human AI Net
a Human and Artificial Intelligence Network
...The plan is a massively multiplayer space where we design, evolve, and play with game objects and do AI research together which controls those game objects along with directly playing the games. The main data format is, from xorlisp which is also in progress, immutable binary forest nodes, so if millions of people build that together nobody can damage or change anyone else's data since its all constant. You dont change variables. You create new data that points at existing constant data, as deep as you need it. I have mindmap lists, definitions, and 2 editable properties working that way with 2 kinds of event listeners that work locally. ... -
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Immutable Sparse Wave Trees (WaveTree)
Realtime bigdata tool for bit strings up to 2^63 based on AVL forest
Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. -
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TreeGrOSS Forest Growth Simulation
Software for modelling tree growth
Tree Growth Open Source Software is a Java based version of the forest growth simulator for north west Germany BWINPro. -
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mesoFON
mesoFON is an individual-based mangrove forest model, a KiWi extension
mesoFON is an individual-based mangrove forest model. It is a Java implementation of the KiWi model done with RePast Simphony. It contains several new features: (1) You can add up to 10 species via the GUI. However, in principle, the number of species to be included programmatically is unlimited. (2) You can use a variety of growth functions via typing them in as a string on the GUI. (3) The model is transparent, sinc it comes with the Eclipse workbench of RePast. -
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iTLogger
Log and evaluate data from your smartphone and OBD
iTLogger is the result of a software project at TU Ilmenau in 2012. Its aim was to create an app and corresponding desktop programm, so that people could track their journey on forest roads and later evaluate the data on their desktop. With the logged data you can evaluate the quality of forest roads. Available on Google Play: https://play.google.com/store/apps/details?id=de.tui.itlogger -
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...New Features Include: -All the Features of the 3.7.3 Weka Package -Multi-Threaded ensemble learning -An enhancement on the popular RandomForest Learner based on "Dynamic Integration with Random Forests" by Tsymbal et al. 2006 and "Improving Random Forests" by Robnik-Sikonja 2004. -More enhancements to the voting mechanisms in Random Forest -Possibility to output Feature Weights according to the original Breiman Paper 2001
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Kelp Forest is a knowledge base with open interfaces to support development of specialized user interfaces and usage of different information propogation strategies.
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The Forest Project aims at building a repository in which documentation artefacts about any system, and relations between them, can be stored, from which documents can be generated and can aid in checking whether the system is consistent and complete
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Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
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This is a maze-like game. The object of the game is to guide Jim through the maze-like forest. On some levels, there may be a step limit, wild animals, and/or slave traders in his way through the forest. (To be added in later release.)
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Includes Mogno Lib for web applications development and Mogno Studio, an environment to visually build the application. Mogno Lib and Mogno Studio are a Java implementation of Perl Oak (http://perl-oak.sf.net) and Perl Oak\'s Forest Web App Builder.
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The PLECOTUS-Project provides software tools for sustainable land use management, especially forest management. It provides a framework for forest growth models of various types and integrates them using a plugin architecture.
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