Search Results for "ml" - Page 9
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Showing 320 open source projects for "ml"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Python Machine Learning book
The book code repository and info resource
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not... -
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OWL Machine Learning
Machine learning algorithm using OWL
Feature construction and selection are two key factors in the field of Machine Learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are aggregated, combined or split to create features from raw data. This project makes use of ontologies to automatically generate features for the ML algorithms. The features are generated by combining the concepts and relationships that are already in the knowledge base, expressed... -
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Blind digger
crawler manager
blind-digger is project that integrate crawler's (imacro,selenum) with tool that control and manage it include ml controler and dynamic user interface by winbatch -
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autoFRK
Automatic Fixed Rank Kriging
An R package 'autoFRK' performs fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form... -
Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
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AdKats-ML
AdKats-ML
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fantail-mlkit
The fantail machine learning toolkit (Moved)
Moved to https://github.com/quansun/fantail-ml -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time... -
ProcureDesk is an integrated purchasing and invoicing platform tailored to help small to medium sized businesses streamline their procurement processes. This user-friendly system automates workflows and consolidates purchasing data into a centralized dashboard, allowing companies to control spending and enhance transparency efficiently. Features like automated invoice matching, simple requisition creation, and immediate cash flow insights minimize manual tasks and boost operational efficiency. ProcureDesk is perfect for smaller enterprises leveraging big-business strategies to reduce costs and optimize their purchasing activities. Discover how ProcureDesk can transform your procurement process into a more effective and manageable part of your business.
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MUMAL2
Multivariate analysis of MS/MS data using ML techniques
Program described in the paper: MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm, 2016. By Fabio R. Cerqueira; Adilson M. Ricardo; Alcione P. Oliveira; Armin Graber; Christian Baumgartner. -
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LAML:Linear Algebra and Machine Learning
A stand-alone Java library for linear algebra and machine learning
LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus... -
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classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
This classification problem involves classifying 20000 messages into 20 different classes. The dataset can be found here: https://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups. Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format... -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining. -
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EpidermalERKMAPK
Scripts for Modelling Human Epidermal ERK-MAPK Activation
...-0509-4-157]. This package includes: - MATLAB code containing the model definition, together with a script to perform non-linear least squares optimisation for a subset of parameters - python scripts which use libSBML to create an SBML representation of the model - SED-ML scripts which execute the SBML model under a range of conditions, produce output plots to recapitulate results shown in Cursons et al. (2015). -
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samsung-printscan
GUI for management Samsung proprietary drivers (printscan)
GUI for management Samsung proprietary drivers (printscan) For Samsung series: CLP-300 CLP-310 CLP-340 CLP-350 CLP-500 CLP-510 CLP-550 CLP-600 CLP-610 CLP-620 CLP-650 CLP-660 CLP-670 CLP-770 CLX-216x CLX-3160 CLX-3170 CLX-3180 CLX-3240 CLX-6200 CLX-6220 CLX-6240 CLX-6250 CLX-8380 CLX-8385 CLX-8540 CLX-9250 mfp560 mfp65x mfp750 ML-1450 ML-1510 ML-1520 ML-1610 ML-1630 ML-1630 ML-1640 ML-1660 ML-1710 ML-1740 ML-1750 ML-191x ML-2010 ML-2150 ML-2150 ML-2240 ML-2245 ML-2250 ML-2510 ML-2525 ML-2550... -
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ML Toolbox
Matlab toolbox for Machine Learning
Matlab toolbox designed to simplify training, validation and testing process for multiple probabilistic models, including SVM, HMM and CRF. The toolbox is designed to work with Matlab Distributed Engine, allowing a distributed training of the probabilistic models. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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TemplateM
*ML templates processing module
TemplateM - *ML templates processing module -
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MODLEM
rule-based, WEKA compatible, Machine Learning algorithm
This project is a WEKA (Waikato Environment for Knowledge Analysis) compatible implementation of MODLEM - a Machine Learning algorithm which induces minimum set of rules. These rules can be adopted as a classifier (in terms of ML). It is a sequential covering algorithm, which was invented to cope with numeric data without discretization. Actually the nominal and numeric attributes are treated in the same way: attribute's space is being searched to find the best rule condition during rule... -
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Tab2MAGE uses a flexible spreadsheet format for MIAME annotation of microarray experiments. Tab2MAGE spreadsheets may be submitted directly to ArrayExpress, or used to generate MAGE-ML for data exchange.
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Machine learning library that performs several clustering algorithms (k-means, incremental k-means, DBSCAN, incremental DBSCAN, mitosis, incremental mitosis, mean shift and SHC) and performs several semi-supervised machine learning approaches (self-learning and co-training). --------------------------------------------------------------------------- To run the library, just double click on the jar file. Also, you can use the following command line: Java -Xms1500m -jar "ML Library.jar...
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AdversariaLib is a general-purpose library for the automatic evaluation of machine learning-based classifiers under adversarial attacks. It comes with a set of powerful features: **Easy-to-use**: Running sophisticated experiments is as easy as launch a single script. **Wide range of supported ML algorithms** All supervised learning algorithms supported by scikit-learn, as well as Artificial Neural Networks (ANNs) **Fast Learning and Evaluation** Thanks to scikit-learn and FANN, all supported ML...
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Nemeth Crisp
A library that converts Math ML and Unicode to Nemeth Braille.
This utility can be used by developers to implement Braille technologies while working with Math ML, Unicode and the web or other scientific application written in the Java Programming language. After the Unicode is translated into Math ML, one can optionally generate a browser-ready, HTML 5 document with the appropriate HTML 5 tags and the imbeded Math ML. -
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The MinCaml Compiler
*** Moved to http://github.com/esumii/min-caml ***
*** Moved to http://github.com/esumii/min-caml *** MinCaml: An educational compiler from a tiny ML subset to the SPARC or PowerPC assembly language; Only 2000 lines of Objective Caml, but almost as efficient as---or even more efficient than---OCaml and GCC!