Search Results for "module"
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Showing 9 open source projects for "module"
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1
scikit-learn
Machine learning in Python
scikit-learn is an open source Python module for machine learning built on NumPy, SciPy and matplotlib. It offers simple and efficient tools for predictive data analysis and is reusable in various contexts. -
2
CSI-Math-Notation-PostfixInfix
Perl Lib Math Notation
* Introduction: - This Module is a Library based Perl code. - The library provide: - Convert INFIX expressions to POSTFIX; - Convert POSTFIX expressions to INFIX and; - Perform POSTFIX context validations. - Context validation can be implemented in item selection routines or data context validation, when it is possible to identify data to be selected or ignored in some data analysis process. * Support: The Support Service is FREE. Do you need support? Open... -
3
BDS
Blockchain data parsing and persisting results
JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before... -
4
GeoJAGS
JAGS module with covariance functions and the CAR model.
A module for JAGS containing several covariance functions for point-referenced data analysis and a function that creates the precision matrix for the proper CAR model for areal data analysis. -
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5
Lab Processes
Rediscover the Simplicity http://www.atgclabs.com/
Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp Lab Processes is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. Lab Processes requires minimal computing skills. Genetic and physiological data can be entered either... -
6
PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify... -
7
EnvStats
An R Package for Environmental Statistics
EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along... -
8
Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular... -
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ModuleFair is a generic, module-based framework upon which to quickly build anything from data analysis programs to game level editors. This project is no longer maintained.
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