Showing 136 open source projects for "learning classifier system"

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  • 1
    C# Extension Methods

    C# Extension Methods

    C# Extension Methods | Over 1000 extension methods:

    ...Open a binary file, reads the contents of the file into a byte array, and then closes the file. Extract all the files in the specified zip archive to a directory on the file system. Get started by learning C# Extension Methods from cheat sheet. Get started by searching from documented extension methods. Get started by searching and trying some online example.
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  • 2
    Skater

    Skater

    Python library for model interpretation/explanations

    Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). ...
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  • 3
    cnn-text-classification-tf

    cnn-text-classification-tf

    Convolutional Neural Network for Text Classification in Tensorflow

    ...Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. By breaking down the model into understandable components, it serves as a practical reference for students and practitioners learning how deep learning models handle text beyond traditional bag-of-words approaches.
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  • 4
    understand-plugin-framework

    understand-plugin-framework

    Demos to help understand plugin framwork

    understand-plugin-framework is an educational project that explores how plugin frameworks operate within Android applications. It demonstrates how applications can dynamically load and execute external modules without requiring installation through standard mechanisms. The repository provides examples and explanations of class loading, resource management, and component integration. It is designed to help developers understand the internal architecture of plugin-based systems. The project is...
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  • 5
    Tiramisu

    Tiramisu

    Polyhedral compiler for expressing fast and portable data algorithms

    Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout...
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  • 6

    Face Recognition

    World's simplest facial recognition api for Python & the command line

    Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a...
    Downloads: 6 This Week
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  • 7
    Deeplearning-papernotes

    Deeplearning-papernotes

    Summaries and notes on Deep Learning research papers

    Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract...
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  • 8
    MMORPG

    MMORPG

    MMORPG

    This MMORPG project is a Flash-based multiplayer online role-playing game engine designed for browser gameplay. It includes core components such as character movement, chat, map transitions, and simple combat systems, serving as a foundation for developing 2D online games. The codebase is suitable for learning how multiplayer mechanics work in ActionScript and supports socket-based networking.
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  • 9
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    ...The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores.
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  • 10
    Caffe2

    Caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework

    Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform...
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  • 11

    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. In conclusion, RBF is a novel framework that performs strongly especially on data...
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  • 12
    Ruby Hail

    Ruby Hail

    Rack-based nano framework

    Ruby Hail is Rack-based nano framework. It's the fastest-by-design Rack-based framework. It requires less learning (besides Rack, you suppose to know it by this time) than any other framework. It works great for simple dynamic web-sites, single-page web-apps and microservices.
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  • 13
    Climate

    Climate

    The swiss-army knife of utility tools for Linux

    Climate is the ultimate command-line tool for Linux. It provides a huge number of command-line options for developers to automate their Linux system. This tool can be extremely helpful in learning various unix commands too. There is an option to print each command before they're executed to help you memorize them over time.
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  • 14
    Attitude Estimator

    Attitude Estimator

    A C++ implementation of a nonlinear 3D IMU fusion algorithm.

    Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms,...
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  • 15
    DotNetWikiBot Framework

    DotNetWikiBot Framework

    Make robots for MediaWiki-powered sites!

    The DotNetWikiBot Framework was developed so that it can offer a helping hand with many complicated and routine tasks of wiki site development and maintenance. DotNetWikiBot Framework is a cross-platform full-featured client API, that allows you to build programs and web robots easily to manage information on MediaWiki-powered sites. DotNetWikiBot Framework can also be used for learning C# and .NET.
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  • 16
    moodle-javalib

    moodle-javalib

    Java client library for Moodle 2.x REST Web Services

    Open-source learning platform Moodle is used in Classical Private University (Zaporozhye, Ukraine) for over 11 years. One of the important extensions of the platform functionality, starting with version 2.0, is support for Web services. To explore the practical possibilities of interacting with Moodle Web services we have developed a Java-client and used it for the study.
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  • 17
    Bocker

    Bocker

    Docker implemented in around 100 lines of bash

    Bocker is a minimal, educational reimplementation of core container (Docker-like) functionality, done in about a hundred lines of Bash script. Its purpose is not to replace Docker’s full feature set, but to illustrate container primitives—namespaces, cgroups, layering, filesystem manipulation, network namespaces, etc.—in a transparent, minimal form. With bocker you can perform basic operations such as pulling an image, running a container, exec into a container, listing containers, and...
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  • 18
    Elastic Management of Tasks in Virtualized Environments is in charge of managing virtual machines created in Xen by creating full customized virtual machines and allowing executing tasks inside this.
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  • 19
    Fat-Free Framework
    FAT-FREE is a powerful and lightweight PHP 5.3+ Web application framework designed to help you build dynamic and robust Web sites - fast! Unlike other PHP frameworks, Fat-Free aims to be usable - not usual.
    Downloads: 1 This Week
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  • 20
    EasySQL Framework

    EasySQL Framework

    Work easily and safely with your database with EasySQL Framework.

    EasySQL is a powerfull open source tool written in PHP and released under the GNU AGPLv3. It was created for web application developers that want to write fast and secure apps. EasySQL Framework is especially good for inexperienced developers that are in the process of learning MySQL because it makes it almost impossible to make a syntax error. Currently it supports DDL, DQL/DML and DCL.
    Downloads: 0 This Week
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  • 21
    yafra

    yafra

    Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework

    Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on!
    Downloads: 0 This Week
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  • 22

    Stanzapper

    A Web based XMPP utility to check communication with XMPP server.

    Stanzapper 1.1 Released.. Stanzapper is also available @ http://stanzapper.appspot.com/ Stanzapper is a Web based utility built on HTML and JavaScript that allows creating a session with XMPP server on BOSH and send, receive XMPP stanzas. It's a solution to easily build XMPP stanzas and check the responses of server. This utility can be used to check various XMPP scenarios and use-cases at protocol level. It can be used to test other XMPP applications as well. It's also an...
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  • 23
    RobGP is a genetic programming system written from the ground up in C++. It's primary goals are efficiency, ease of use, and extensibility. It's distinguishing feature is that it has a modified version of Koza's architecture altering operations.
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  • 24
    Project Sparroh
    Project-Sparroh is a hobby operating system project. Goal is to write an OS from scratch for the purposes of learning how they work and for fun. An assembler and high level language cross-compiler will also be written first and used to build the OS.
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  • 25
    Deprecated for Collective Knowledge Framework (universal autotuning and predictive analytics): http://github.com/ctuning/ck This is Continuous Collective Compilation (and Parallelization) Framework to enable optimization knowledge reuse among different programs and architectures and optimize programs for performance, size, power consumption and DSE using machine learning.
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