Search Results for "data collection algorithm" - Page 11
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Showing 334 open source projects for "data collection algorithm"
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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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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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Matplotlib tutorial
Matplotlib tutorial for beginner
The Matplotlib tutorial repository is designed as a hands-on learning resource to help users — especially Python beginners — get started with Matplotlib for creating plots and charts. It provides a sequence of example scripts and notebooks that cover fundamental plotting tasks: line graphs, histograms, scatter plots, bar charts, customizing axes, labels, legends, and styling. This makes it ideal for someone learning data analysis or exploratory data visualization for the first time and... -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. -
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ASN.1 types and codecs (BER, CER, DER) implementation in Python programming language. A collection of various ASN.1-based protocols data structures is supplied in a dedicated Python package. Project moved to GitHub: https://github.com/etingof/pyasn1
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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H.
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Astrophotography Lab
A collection of useful tools for astrophotographers
Astrophotography Lab (APLab) is a free program intended for anyone interested in astrophotography. It has two main purposes: - Interpreting data extracted from your astrophotos to produce useful information. - Using this information as a help for further improving your imaging results. The program consists of four main tools: an analyser tool, a calculator tool, a simulator tool and a plotting tool. The tools are connected, allowing you to transfer information between them, and easily... -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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ThermV
Comprehensive thermal analysis software package
ThermV thermal analysis software package aims to provide the most sophisticated automatic analysis of thermal analysis data (TG/DTG, DTA and DSC). It offers new algorithm for concurrent peak deconvolution at different heating rates and provides full kinetic analysis of these data, including isoconversional methods for Ea, determination of reaction model and full kinetic triplet, Avrami coefficients, and dimensionality of crystal growth for reactions in the solid state. ... -
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OpenNumismat
Coin collecting software for organize and manage your own catalogue
This project has been migrated to github - please visit http://opennumismat.github.io OpenNumismat is a handy and reliable application aimed at coin lovers, numismatists or amateurs looking to create a numismatics collection. With OpenNumismat, you will be able to create, organize and manage your own coin catalogue with detailed description and photos for each of the items. -
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Encryption with symmetric-key algorithm Kirmah - generate keys with exotic chars - redefine key length - key mark to ensure decryption capabilities - mix data - fast with multiprocessing - possible compression - gui on gtk3 - cli tool - python3 DEPENDENCIES : ======== python3, python-gobject, gobject-introspection, pygtk 3 modes are available to encrypt : ======== - compression (full / disabled or only final step) - random (simulate a random order - based on crypted key - to randomize data) - mix (mix data according to a generated map - based on crypted key - with addition of noise) Process is as follow : ======== encrypt : file > [ compress > ] encrypt > [randomiz data > mix data > compress > ] file.kmh decrypt: file.kmh > [ uncompress > unmix data > unrandomiz data] > decrypt > [uncompress > ] file ======== for encrypt/decrypt large binary files, use the fastest alternative : split/merge
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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ImpraStorage
ImpraStorage provided a private imap access to store large files
ImpraStorage provided a private imap access to store large files. Each file stored on the server is split in severals random parts. Each part also contains random noise data (lenght depends on a crypt key) to ensure privacy and exclude easy merge without the corresponding key. An index of files stored is encrypt (with the symmetric-key algorithm Kirmah) and regularly updated. Once decrypt, it permit to perform search on the server and download each part. transfert process is transparent. Just vizualize locally the index of stored files and simply select files to download or upload. ... -
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mod DNA-Based Installer (modDNA)
An attempt to speed up installing large mod configs such as S.T.E.P.
Mod Organizer (MO) provides a very solid way of installing mods. Skyrim Total Enhancement Project (S.T.E.P.) provides a very good collection of mods. Still, installing large collections (such as S.T.E.P.) takes many hours, mostly of menial and error-prone keypressing and mouseclicking, The aim of modDNA is to eventually speed it up to the point of "download 'DNA' developed by guru", then "download files necessary to reconstruct this DNA" (with modDNA providing hints for download), and... -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. -
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DiagSim
Diagnostics simulation for particle accelerators
DiagSim is a collection of Python modules for simulating beam diagnostics in particle accelerators, at the moment only cavity BPMs, with other types of BPMs and other diagnostics to follow. Or so we think. Anyway, we use beam data exported from beam trackers, trace the signals through the diagnostics and processing, so that they can be processed as real data, and the input and measured beam parameters can be compared. -
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. -
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. -
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CAPLET
GDS visualization and parallelized capacitance extraction
Project CAPLET is a capacitance extraction toolkit that extract capacitance at field-solver accuracy. CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material. -
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CogPy
Cognitive Python
...A few of its main features are: - A full-featured 2D display library for rapid development - Full control of computer I/O (display, mouse, keyboard, gamepad, joystick, audio) - Advanced library of data collection techniques - Data export to NumPy/SciPy, R, MATLAB, and Microsoft Excel - Compatibility with PyACT-R for cognitive modeling If you are interested in contributing to the CogPy project, contact the lead developer, Jasper Danielson, at jrd4@rice.edu. -
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Simple CGI script which allows you to transfer sensitive ascii data (passwords, hashes, pem keys) via HTTPS. SSL MUST BE implemented by webserver. Algorithm: - Paste new data into textarea, submit. You get link Link consists of three md5 hashes from salt. File, containing your data, named that way. So, it is hard to bruteforce links/files. - Whenever link being opened, script reads file and prints its content into brower in text/plain content-type. ...
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hrefinder
Detection of homologous recombination events from SNP data
This software detects homologous recombination events (HREs) from SNP data. Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. -
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HPeak
A HMM-based algorithm for defining enriched regions from ChIP-seq data
HPeak is a hidden Markov model-based approach that can accurately pinpoint regions to where significantly more sequence reads map. Testing on real data shows that these regions are indeed highly enriched by the right protein binding sites. Command (single-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -t TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -fmin 100 -fmax 300 -r 36 -ann -wig -seq -interfiles Command (pair-end): perl /compbio/software/HPeak3/HPeak.pl... -
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Mix
Mix is a tool to combine multiple assemblies from NGS data.
Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome finishing. The proposed algorithm builds an extension graph where vertices represent extremities of contigs and edges represent existing alignments between these extremities. These alignment edges are used for contig extension. The resulting output assembly corresponds to a path in the extension graph that maximizes the...
