Search Results for "learning classifier system" - Page 6
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Showing 199 open source projects for "learning classifier system"
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Didact
A DIY guide to build your own React
Didact is an educational JavaScript project that teaches developers how to build a small React-like library from scratch. It accompanies a series of explanatory posts that break down React concepts step by step. The project covers rendering DOM elements, element creation, JSX, virtual DOM behavior, reconciliation, components, state, Fiber-style incremental reconciliation, and hooks. Its goal is not to replace React, but to make React’s internal ideas easier to understand through a compact... -
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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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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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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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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virgo
32 bit VIRGO Linux Kernel
Linux kernel fork-off with cloud and machine learning features -
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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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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... -
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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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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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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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BeeHive
Solution for iOS Application module programs
BeeHive is a solution for iOS Application module programs, it absorbed the Spring Framework API service concept to avoid coupling between modules. BeeHive is a modular program of implementation in iOS, it absorbed the Spring Framework API service concept to avoid to directly coupling between modules. BeeHive bases on Spring Service concept, although you can make and implement specific interfaces decoupling between modules, but can not avoid interface class dependencies. Mainly on account of... -
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are... -
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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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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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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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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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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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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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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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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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HYBRYD
Library written in C with Python API for IPv6 networking
This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as... -
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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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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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SCORM (1.3) E-learning Development Tool
All you need to develop your e-learning courses!
This is a preconfigured VirtualBox Virtual Machine containing all you need to develop SCORM packages (1.3) for your e-learning courses. Using a Java Wizard, it is possible to add your content to a preconfigured e-learning course and export it in SCORM 1.3 format. Moodle 2.7 LMS is included to test your SCORM packages. The preconfigured e-learning course uses HTML5 tags to allow learners to enjoy the course using mobile devices (smartphones, tablets).
