Search Results for "data collection algorithm" - Page 27
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Showing 1330 open source projects for "data collection algorithm"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Visualization of Protein-Ligand Graphs
Compute protein graphs. Moved to https://github.com/MolBIFFM/PTGLtools
NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/ -
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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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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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ekpar2 (Easy Par2 for KDE) is a tool to create par2 recovery sets for one or more source files, verify and repair these source files. It has an easy to use gui for KDE (aimed to look and feel like the windows tool QuickPar). Par2 (or Parchive) is a set of recovery files that holds error correction information for one or more source files using the Reed Solomon algorithm (see parchive on SourceForge).
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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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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MULTOVL
Multiple overlaps of genomic regions
The MULTOVL suite of programs finds multiple overlaps among genomic regions. The MULTOVL algorithm can detect several kinds of region overlaps. In addition to the N-fold overlaps you can detect solitary regions which are the input regions that do not overlap with any other region in the input data set, and union overlaps that is the union of the input regions that overlap at least once somewhere. IMPORTANT NOTICE: MULTOVL has been migrated to BitBucket. -
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Primes
Calculate primes by using extremely fast sorting
This project considers the problem of calculating primes as a sorting problem. It includes the most efficient tree-based sorting algorithm that is possible and shows that finding a new prime can be done by sorting the differences between the previous primes in the right way. Unfortunately it has turned out that going this way is even more slowly than trying to find primes by brute force. So it can only be used as a test with heavy load for the sorting algorithm, which can be used for sorting any kind of data. ... -
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complemento
Complemento is a collection of tools for pentesters.
Complemento is a collection of tools for pentesters: LetDown is a powerful tcp flooder ReverseRaider is a domain scanner that use wordlist scanning or reverse resolution scanning Httsquash is an http server scanner, banner grabber and data retriever -
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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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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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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
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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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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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QAL
Query Abstraction Layer
Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. -
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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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Morpheus search algorithm
a mass spectrometry–based proteomics database search algorithm
Morpheus is a mass spectrometry–based proteomics database search algorithm designed from the ground up for high-resolution tandem mass spectra. We have discovered that for high-resolution MS/MS, simple spectrum preprocessing and scoring performs superior to more complex algorithms originally developed for low-resolution MS/MS, such as Sequest, Mascot, and OMSSA. Morpheus is also very fast—up to nearly 5 times faster than OMSSA for large human datasets. It is written in C# and is available... -
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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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LaNet-vi provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core and k-dense (m-core) decomposition. For more details see http://lanet-vi.fi.uba.ar.
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REDHORSE
Software suite for the analysis of haploid hybrids using NGS
The alignments to the genome from next-generation-sequencing (NGS) data cannot be directly used as input to the existing recombination detection (RD) algorithms that use multiple sequence alignments (MSA). We therefore designed a software suite called REDHORSE that takes genomic alignments as input, extracts meaningful markers and generates MSAs that are the inputs to existing RD algorithms. In addition, REDHORSE implements a custom RD algorithm that makes use of sequence information and genomic positions to accurately detect crossovers. ... -
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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. ... -
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GloVe
GloVe model for distributed word representation
...The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality.
