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Showing 18 open source projects for "forest"
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1
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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PyQuil
A Python library for quantum programming using Quil
...To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
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IPFS Web UI
A frontend for an IPFS node
A web interface to IPFS, shipped with Kubo, and ipfs-desktop. Check on your node stats, explore the IPLD powered merkle forest, see peers around the world and manage your files, without needing to touch the CLI. When working on the code, run an ipfs daemon, the local dev server, the unit tests, and the storybook component viewer and see the results of your changes as you save files. If you need to run IPFS in a Docker container, you can still have Web UI available by exposing both the Gateway and Web UI ports. ... -
4
PennyLane
A cross-platform Python library for differentiable programming
...The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms. -
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Lumber
Install Forest Admin in minutes
Easy setup, without any hassle. Save time and money with the internal tool that fits all your needs. Build one internal tool for all your data. Forest Admin helps hundreds of large enterprises and small startups to manage their data. Don’t just visualize your data, handle it in the most convenient way possible. With Forest Admin, your business teams can manipulate and organize data through one simple interface. Don't just showcase your data, have full control over it. With Forest Admin, basic actions such as creating, reading, updating, and deleting data are all a breeze. ... -
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benchm-ml
A benchmark of commonly used open source implementations
...It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. The repository is structured in logical folders, each corresponding to algorithm categories. -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. -
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TheForest Mods (rebuilt)
In case the official files don't get updated, try these ones. B-)
Since The Forest gets pretty regular updates, previously-released mod files get out of date pretty quickly. Sometimes, their authors don't re-release them using the new modlibrary, and you can't use them anymore. This projects's goal is to just re-compile the existing mods (from their released source code) to make them compatible with the latest version of The Forest. -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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10
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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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. -
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r4st
A database rapid application development tool
The r4st ("Our Forest") project is a set of tools to assist with the rapid development of a database application. It uses shell scripts to drop/add Postgresql database tables/views with data loaded from sql and csv files. This process allows users to apply changes then re-build the system. It is essentially a customizable database regression system. -
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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15
It is the source code for a tree mining algorithm called TRIPS. It can mine frequent subtrees from a forest of tree structures.
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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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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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18
The Perl Oak Component tree is a implementation of a complete framework for designing enterprise applications. Includes: The Oak framework, the Forest Web Application Builder (a Web Interface to create Web interfaces) and OakXP, a XP project manager.
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