Search Results for "ml" - Page 10
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Showing 460 open source projects for "ml"
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The Simulation Experiment Description Markup Language (SED-ML) is a formal representation aimed at encoding requirements defined in the MIASE guidelines. THIS REPOSITORY IS DEPRECATED AND MOVED TO https://github.com/sed-ml
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A Java library to facilitate SED-ML support for systems biology applications to read, validate, edit, and write SED-ML documents in compliance with MIASE guidelines. Also contains modules to execute simulation tasks and produce outputs. This project also contains the SED-ED editor application for SED-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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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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basload
c64 basic loader generator for machine language programs
Basload is a crossdevelopment commandline tool for the Commodore 64 that takes takes a pure machine language program file, transforms it into BASIC data statements + checksum and adds a small BASIC install routine. Main purpose of this is to share short ML programs for hardware testing/debugging in a typable form over the internet in cases where the recipient cannot transfer those to his C64 in binary state and thus has to type them in. -
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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... -
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AdKats-ML
AdKats-ML
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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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Ben(Zai)Ten is a graphical modeling environment for computational and systems biology. It supports the community exchange standards: SBML, SBRML, SED-ML as well as ontologies: MIRIAM, SBO, ChEBI, KEGG, GO
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MS-ML Studio
Free and Open-Source Tool for Mass Feature Extraction
Mass spectrometer is a useful tool for biochemistry research field analysis. It is used to identify microorganisms, protein, chemical compounds and complex diseases by blood analysis. There is many tools and libraries to handle different steps of mass spectrometry (MS) data analysis. However, the integration of all these tools lacks user friendly approaches. We developed a machine learning solution capable to handle all steps of MS data analysis. The ML-MS Tool is an free software... -
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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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e-Metis - ML
Modul za napovedovanje učnih težav.
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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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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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CADBURE
Tool for evaluating aligner performance on your RNA-Seq dataset.
...://bioinfolab.miamioh.edu [2] How to cite CADBURE? Kumar PK++, Hoang TV++, Robinson ML, Tsonis PA, Liang C* (2015) CADBURE: A generic tool to evaluate the performance of spliced aligners on RNA-Seq data, Scientific Reports, 5:13443. http://www.nature.com/articles/srep13443 [3] CADBURE Q&A For Q&A, please visit the Wiki page of this website. [4] CADBURE bug report You can report a bug as a Ticket request. Or, you can start a topic session in the Discussion webpage of this website. -
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Pencil Malayalam Translator
Malayalam Translator
Pencil is Unicode English Malayalam PhoneticsTranslator.It help you type malayalam while typing Mangish. Pencil is updated with unicode to ML Font Coverter also File management option -
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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).