Search Results for "learning classifier system" - Page 27
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Showing 1111 open source projects for "learning classifier system"
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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Clus is an open source machine learning system that implements predictive clustering trees (PCTs) and predictive clustering rules (PCRs). PCTs generalize traditional classification and regression trees by altering the heuristic that is used to constr
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DMTK
Microsoft Distributed Machine Learning Toolkit
The Microsoft Distributed Machine Learning Toolkit (DMTK) is an open-source framework created to support scalable machine learning across distributed computing environments. Developed by Microsoft Research, the toolkit provides infrastructure and algorithms designed to train large models efficiently on clusters of machines rather than a single system. At its core is a parameter-server architecture called Multiverso, which manages model parameters and synchronizes updates across distributed training processes. ... -
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iGNUit
A flashcard-based memorization aid for GNOME
iGNUit is a memorization aid based on the Leitner flashcard system. It has a GNOME look and feel, a good selection of quiz options, and supports UTF-8. Cards can include embedded audio, images, and mathematical formulae (via LaTeX). It can import and export several file formats, including CSV. iGNUit can be used for both long-term learning and cramming. -
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MetExpert is an expert system to assist users with limited expertise in informatics to interpret GCMS data for metabolite identification without querying spectral databases
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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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Bash Shell Scripting in a Minute
Learn Bash Shell Scripting in a Minute using this Collection of Script
Learn Bash Shell Scripting in a Minute using this Collection of Scripts, which are Real World Examples, ranging from a simple Date Based Theme to a Standalone Kiosk Type User Input Forms. The Learning is based on a "Observe and Understand Strategy", which means you run these scripts, observe their outputs, understand the script that generates them and learn the whole thing. These Scripts cover almost all the basics of bash shell scripting and summarizes them in the last script for user... -
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libfastknn
Fast C++ KNN classifier
KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor. -
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GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
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The KReator project is a collection of software systems, tools, algorithms and data structures for logic-based knowledge representation. Currently, it includes the software systems KReator and MECore and the library Log4KR: - KReator is an integrated development environment (IDE) for relational probabilistic knowledge representation languages such as Bayesian Logic Programs (BLPs), Markov Logic Networks (MLNs), Relational Maximum Entropy (RME), First-Order Probabilistic...
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TensorFlow on Raspberry Pi
TensorFlow for Raspberry Pi
TensorFlow on Raspberry Pi. -
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Neural Photo Editor
A simple interface for editing natural photos
Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways. -
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H2O-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning
H2O-3 is an open-source machine learning platform designed to build scalable and distributed machine learning models across large datasets. The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques. -
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Neuro
The Neuro crypto currency
...At further stages of the work, we adapt the neural networks to calculate molecular interactions in protein environments. Our system will help to look for new types of drugs for cancer, Alzheimer's and other serious problems of modern medicine. We plan to make a serious contribution to the increase of human life expectancy. -
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TEES
Turku Event Extraction System
Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments. Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information. -
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This library is aimed at C++ developpers who need to add fuzzy logic to their app. It also provides simple applications to learn rules from data, and to process data. For screenshots, see website.
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Operating Systems: From 0 to 1
A book to gain the foundational knowledge to write operating systems
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn how to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. A big picture of how each layer of a computer is related to the other, from hardware to software. -
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VBS for Research on the Internet
Welcome to the Volunteer-Based System for Research on the Internet!
Welcome to the Volunteer-Based System for Research on the Internet! This system is designed to provide detail data about applications used in the Internet. This information can be used for: - obtaining the knowledge which applications are most frequently used in the network - providing the users some basic statistics about their Internet connection usage (for example for which kinds of applications their connection is used the most) - creating scientific profiles of traffic generated by different applications or different groups of applications - creating a traffic generator, to imitate traffic generated by particular applications, or to imitate the real traffic in the network - implementing smart assessment of QoS in the network at the users' level and in the core of the network - obtaining precise data needed to train Machine Learning Algorithms - many more cases :-) -
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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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UberStudent is a Linux distribution for learning, doing, and teaching academic success at the higher education and advanced secondary levels. Researchers, other knowledge workers, lifelong learners, and anyone who just wants a highly-polished computing platform will equally benefit from UberStudent. More than just an operating system, UberStudent aims to be a complete, ready-to-go, and "out-of-the-box" Learning Platform for education that facilitates not only immediate user-friendly productivity but long-term cross-platform computer fluency among its users. ...
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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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Eye
Process monitoring tool. Inspired from Bluepill and God
Process monitoring tool. Inspired from Bluepill and God. Requires Ruby(MRI) >= 1.9.3-p194. Uses Celluloid and Celluloid::IO. Eye is an image processing and analysis library for quickly analyzing image patterns and features, often used in computer vision tasks. -
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PowerNex
An operating system written in D
PowerNex is a microkernel operating system written entirely in the Nim programming language. Designed as a learning and research project, it explores OS development using a modern high-level systems language while still offering low-level control. PowerNex focuses on modularity, simplicity, and code clarity. While still in its early stages, the project includes basic kernel functionality, including memory management, task switching, and a custom bootloader, offering insight into building an OS from the ground up using newer programming paradigms. -
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O BRLix é um projeto que visa atender aos usuários de Desktop que possuem dificuldade em utilizar as interfaces gráficas atuais do Linux. Com uma interface já conhecida, e aplicativos que facilitam o trabalho, diminui-s.e a curva de aprendizado e torna-se amigável a utilização de um GNU/Linux por um usuário Leigo. The Brlix is a project to help users who have difficulty using the current Linux graphical interfaces. With an already familiar interface, and applications that facilitate the...
