Search Results for "ml" - Page 17
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Showing 580 open source projects for "ml"
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Bolt ML
10x faster matrix and vector operations
Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with... -
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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 in form of ontology. -
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Elchemy
Write Elixir code using statically-typed Elm-like syntax
...Elchemy is a set of tools and frameworks, designed to provide a language and an environment as close to Elm programming language as possible, to build server applications in a DSL-like manner for Erlang VM platform, with a readable and efficient Elixir code as an output. ML-like syntax maximizes expressiveness with additional readability and simplicity constraints. Tagged union types and type aliases with type parameters (aka generic types). Powerful type inference means you rarely have to annotate types. Everything gets checked for you by the compiler. The produced code is idiomatic, performant and can be easily read and analyzed without taking a single look at the original source. ... -
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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 expressions when no missing value occurs. For data with missing values, the ML estimates are obtained using the expectation-maximization algorithm. ... -
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fantail-mlkit
The fantail machine learning toolkit (Moved)
Moved to https://github.com/quansun/fantail-ml -
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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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AdKats-ML
AdKats-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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Octave
my octave exercises for 2011 stanford machine learning class
This repository is a personal archive of Octave exercises and assignments for the 2011 Stanford Machine Learning class. The author uses the Octave programming environment (which is similar to MATLAB) to implement the homework assignments (ex1 through ex7), providing code solutions, cheat sheets, and scratch files. Octave / MATLAB code illustrating algorithms taught in the class. Cheat sheet for Octave / MATLAB commands. Readme and licensing information. Octave / MATLAB code illustrating... -
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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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ML Manager 1.X
A modern, easy and customizable app manager for Android with Material
A modern, easy and customizable APK extractor & app manager for Android that allows you to extract any installed and system app, mark them as favorite, share .apk files easily and much more. -
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e-Metis - ML
Modul za napovedovanje učnih težav.
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PredictionIO
Machine learning server for building predictive applications
Apache PredictionIO is an open-source machine learning server designed to simplify the process of building and deploying predictive engines. It offers a scalable infrastructure with support for multiple ML algorithms, event data collection, and deployment workflows. Developers can use templates or build custom engines, making it a flexible solution for integrating machine learning into applications. -
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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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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... -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...Currently, it holds following main concepts 1- 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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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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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 ML-2550S ML-2550S ML-2560 ML-2570 ML-2580 ML-2850 ML-2855 ML-3050 ML-3470 ML-3560 ML-4050DMV ML-4050 ML-4550 ML-5510 ML-6060 ML-7300 ML-8x00 scx4100 scx4200 scx4300 scx4500 scx4500w scx4600 scx4623 scx4725 scx4x16 scx4x20 scx4x21 scx4x24 scx4x25 scx4x26 scx4x28 scx5312 scx5635 scx5835 scx5x30 scx6545 scx6x20PCL scx6x20 scx6x20PS scx6x22 scx6x45 scx6x55 scx8030 sf531 -
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EpidermalERKMAPK
Scripts for Modelling Human Epidermal ERK-MAPK Activation
...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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clibsedml
C library for SED-ML
This project has migrated to GitHub (https://github.com/flintproject/clibsedml). -
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TemplateM
*ML templates processing module
TemplateM - *ML templates processing module -
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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.
