Search Results for "data collection algorithm" - Page 33
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Showing 1337 open source projects for "data collection algorithm"
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XML2CSV-Generic-Converter
Flatten XML into CSV to suit your mood
Java XML to CSV (XML2CSV) generic conversion facility. Flattens one or more similar XML files into CSV projections. I made it in order to extract data from big XML files and gather them in files more easily opened with a spreadsheet because I didn't find anything adapted to my needs over the Internet when I needed to (Java + truly generic + self-contained algorithm + Unix like command line options + efficiency). It is packaged as an auto executable Jar for convenient command line execution but might as well be interfaced directly by a Java class as part of a broader [yet non commercial] software. ... -
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QAmiRSeq
A strand aware pipeline for accurate quantification of miRNAs/isomiRs
We designed and implemented a pipeline called QAmiRSeq for fast and accurate quantification of both known miRNAs and isomiRs from high throughput sequencing. QAmiRSeq reconciles its implementation with the unique nature of miRNAs. It is the first algorithm that takes advantage of the strand information for more accurate quantification. All analyses results are organized in a user friendly manner, accessible via a web interface, and can be drilled down interactively by investigators or... -
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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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Spark Python Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis
Spark Python Notebooks is a curated collection of example Jupyter notebooks designed to help developers and data engineers learn Apache Spark using Python in an interactive environment. Rather than only providing static code files, this project uses notebooks to teach practical data processing workflows, exposing users to real Spark programming patterns like working with RDDs, DataFrames, and distributed computations. -
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MicroZip
Create,extract and encrypt ZIP,GZIP,TAR,BZIP2,TAZ files on Java mobile
MicroZip is a powerful file compression and encryption utility for mobile phones which allows you to create and extract compressed archives in multiple formats and encrypt sensitive information with powerful AES-256 encryption. MicroZip can create and extract ZIP,TAR,TGZ,TBZ2 archives and extract many other formats as JAR,GZ,BZ2,TBZ,WAR,BZIP2,GZIP,Z,TAZ,CBZ etc. MicroZip allows you to extract selected files without extracting the whole ZIP archive. MicroZip also supports encrypted ZIP... -
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SeqPig
Use Apache Pig to process your large sequencing datasets!
SeqPig is a library for Apache Pig for the distributed analysis of large sequencing datasets. It provides import and export functions for file formats commonly used for sequencing data, as well as a collection of Pig user-defined-functions (UDF’s) to help process aligned and unaligned sequence data. Currently SeqPig supports BAM/SAM, FastQ and Qseq input and output. For more information see the manual at http://seqpig.sourceforge.net/ -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. ... -
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Data Science Specialization
Course materials for the Data Science Specialization on Coursera
The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. ... -
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The program create large array of doubles (automatically drop extra data to hard disk if needed) and sort them by quicksort algorithm.
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Linode Longview
Linode Longview Agent
Linode Longview is a system-level statistics collection and graphing service powered by an open-source agent that can be installed on any Linux system. It collects system statistics and sends them to Linode, where the data is stored and presented in meaningful ways. -
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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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To exploit all available information from the family structure we developed CATCH, an algorithm that combines genotyped SNPs of all family members for the optimal detection of Runs Of Homozygosity (ROH) and exome sequencing data from one affected individual to identify putative causative variants in consanguineous families. CATCH proved to be effective in discovering known or putative new causative variants in
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DingoRPGTool
Random generators for tabletop RPG games (D&D, Pathfinder, D20, etc)
...Also included: - Dice Roller can open in its own (conveniently small) window - Editor Panel, to add your own random elements (choose your own adventure!) - All data stored in plain text files (.txt) for easy customization NO Spyware, malware, etc. EVER. -
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Python Variable Variables Manager
a python manager class for named variables (variable name is variable)
Addressing the question for variable variables in python (i.e. variables with variable names), which has been posed on stackoverflow: http://stackoverflow.com/questions/1373164/how-do-i-do-variable-variables-in-python The consensus is to use a dictionary for this. This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable... -
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cool-ascii-faces
Get some cool ascii faces
cool-ascii-faces is a playful and popular JavaScript repository that collects a large library of quirky, fun ASCII faces that developers can use in command line apps, scripts, chats, or log output. It serves as a simple utility to inject character and humor into otherwise dry terminal output, making it popular among programmers who enjoy expressive, meme-style text art. With nearly two thousand stars, the repository provides a broad catalogue of emotive and whimsical face strings that can be... -
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RPGUI
Lightweight framework for old-school RPG GUI in web!
Lightweight framework for old-school RPG GUI in the web! This framework provides an out-of-the-box GUI for web games with an old-school RPG style. Once including this lib all you need to do is start adding regular html elements with RPGUI classes, and RPGUI will do all the rest! RPGUI should work on all modern browsers, and it's tested and confirmed on Chrome, Firefox, Opera, and Internet Explorer Edge. Using RPGUI doesn't require coding at all! Just using CSS classes. A complete and whole... -
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...ZORE identifies relation candidates from auto- matically parsed dependency trees, and then extracts relations with their semantic patterns iteratively through a novel double propagation algorithm. Empirical results on two data sets show the effectiveness of the proposed system. This software source is under GPL (v.3), and a separate commercial license issued by the authors for non-opensource. Various models available for download were trained from different text resources, which may require futhre licences.
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Metasploit Framework
Metasploit Framework
...Built-in features include an exploit database, network scanners, credential harvesters, and frameworks to craft reliable payload delivery while handling target nuances like mitigation bypasses and platform differences. Beyond raw exploitation, the framework includes post-exploitation tooling for lateral movement, persistence, data exfiltration simulations, and evidence collection, enabling red teams to exercise detection and incident response workflows. -
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The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
In data classification, there are no particular classifiers that perform consistently in every case. This is even worst in case of both the high dimensional and class-imbalanced datasets. To overcome the limitations of class-imbalanced data, we split the dataset using a random sub-sampling to balance them. Then, we apply the (alpha,beta)-k feature set method to select a better subset of features and combine their outputs to get a consolidated feature set for classifier training. ... -
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Zebrafish Image Processing
Software collection for zebrafish image processing
...Automated Processing of Zebrafish Imaging Data - A Survey Zebrafish, 2013 -
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iCAS - An Illumina Clone Assembly System
An Illumina clone assembly system using SOAPdenovo and ABySS
Clone-by-clone sequencing, as a means of achieving high quality assemblies for large and complex genomes, continues to be of great relevance in the era of high throughput sequencing. However, assemblies obtained using current whole genome assemblers are often fragmented and sometimes have issues of genome completeness owing to different data characteristics introduced by multiplexed sequencing. With iCAS the data filtering process is based on a novel kmer frequency algorithm, resulting in near perfect pre-assembly reads. Contigs are generated using different assembly algorithms and then merged together to achieve longer continuity. Re-aligning all the reads back to the draft contigs and recalibrating each sequence base achieves a final consensus. ... -
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RyzomBlend
Blender port of Ryzom art data
...Removal of weird textures/materials/supports, correction of bad paths 3. Cleanup of translations and rotations of all the items 4. Proper parenting 5. Collection of animations into separate files: walking, crafts, fighting ... -
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EPIG-Seq
Extracting Patterns and Identifying co-expressed Genes from RNA-Seq
An algorithm and software to identify gene expression patterns from RNA-Seq count data. Once the patterns are identified, co-expressed genes are clustered to the patterns. -
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classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
...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. Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. Out of all the methods, SVM using the Libsvm [1] produced the most accurate and optimized result for its classification accuracy for the 20 classes. All the algorithm implementation was written Matlab. ...