Search Results for "algorithm"
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Showing 77 open source projects for "algorithm"
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Say goodbye to broken revenue funnels and poor customer experiencesLeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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CRC RevEng
Arbitrary-precision CRC calculator and algorithm finder
CRC RevEng is a portable, arbitrary-precision CRC calculator and algorithm finder. It calculates CRCs using any of the 113 preset algorithms, or a user-specified algorithm to any width. It calculates reversed CRCs to give the bit pattern that produces a desired forward CRC. CRC RevEng also reverse-engineers any CRC algorithm from sufficient correctly formatted message-CRC pairs and optional known parameters. -
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libdspl-2.0
libdspl-2.0 is opensource cross-platform digital signal processing alg
libdspl-2.0 — opensource cross-platform digital signal processing algorithm library, written in C language. Distributed under LGPL v3 license. This allows to use this library in all applications with dynamic linking. -
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gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
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miRDP2
Accurately and fast analyzing microRNAs transcriptome in plants
miRDeep-P2 (miRDP2) is developed to accurately and fast analyze microRNAs (miRNAs) transcriptome in plants. It is adopted from miRDeep-P (miRDP) with new strategies and overhauled algorithm. We have tested miRDP2 to analyze miRNA transcriptomes in such plants with gradually increased genome size as Arabidopsis, rice, tomato, maize and wheat. Compared with miRDeep-P and several other computational tools, miRDP2 processed NGS data with superior speed. By incorporating newly updated plant miRNA annotation criteria, the accuracy of miRDP2 is also markedly improved. ... -
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mapska
The Murder Accountability Project's Serial Killer Algorithm
Algorithm: Copyright (c) 2010, 2016 and 2017 - Murder Accountability Project. License: GNU General Public License (GPL) version 3. -
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ModST
A tool to search post-translational modifications in a blind mode
ModST (pronounced as modest) is a tool to search post-translational modifications (PTMs) in mass spectrometry data in an unrestrictive manner. It can search for hundreds of modification without any user provided information for variable modifications. Due to data level parallelization implemented through perl it is fast, portable and easy to use to identify and analyse PTMs in MS/MS data. -
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Soma-direct
System Omnichannel Marketing Analysis
Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the... -
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pyfolio
Portfolio and risk analytics in Python
...It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. -
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Tsf_Mdnnhn
Time Series Forecasting.
Implementation of algorithm allowing Time Series Forecasting. -
D&B Hoovers is Your Sales AcceleratorSpeed up sales prospecting with the rich audience targeting capabilities of D&B Hoovers so you can spend more sales time closing.
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The main purpose of CombiTagger is to read files generated by individual PoS taggers and use them to develop and evaluate combined taggers according to a given combination algorithm. http://aaai.org/ocs/index.php/FLAIRS/2009/paper/download/67/296
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AI learning
AiLearning, data analysis plus machine learning practice
We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,... -
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Density-ratio based clustering
Discovering clusters with varying densities
This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. ... -
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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ooPorter
A Porter stemming or stemmer algorithm coded in ooRexx
This is an ooRexx line-by-line port from Ansi-C to ooRexx of the stemming routine published by Martin Porter 1980. The original source code from Porter has been commented out and emulated by the corresponding (oo)Rexx code as far as possible. This is not an example of good or fast (oo)Rexx programming, it is merely a demonstration of the Porter stemming routine ported to ooRexx, use and modify as necessary. Input to the program is a textfile with words to be stemmed, one per line.... -
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Java implementation of John Platt's Sequential Minimal optimization algorithm. This is an efficent Support Vector Machine solution.
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DenseBlocks
Unsupervised Classification Algorithm
DenseBlocks is an unsupervised classification method for n-dimensional numerical data. It creates a multi-dimensional density representation of given training samples, defines clusters accordingly and returns this representation which can further be used to classify related data. -
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phenotemp
phenological trends using NOAA AVHRR time series
Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined via threshold-based algorithms or via analysis of max. increase of NDVI during green-up. ... -
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XOR encrypt v2.0
Encrypt Your Text documents with XOR encryption
...Besides from XOR'ing the message with password after every encryption the key changes pseudorandomly. The password you provide is hashed ( SHA256 ) and saved into the encrypted file to check if the password provided is correct.This algorithm has limitations in general more the numbers of relative characters in the password to plaintext more secure will be the encryption. XOR encrypt has a 3.5 of 5 editors rating from softpedia http://www.softpedia.com/get/Security/Encrypting/XOR-Encrypt.shtml -
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KL1p
A portable C++ library for Compressed Sensing
KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique. -
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FALCON - Text Search Java Project
JSON based text search Java Project
----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language... -
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HAWK - PDF Text Search Java Project
No more support for this project - TAKE A LOOK AT FALCONSEARCH
No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/" -
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Unsupervised TXT classifier
Classify any two TXT documents, no training required - JAVA
...First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). ... -
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Sharp Statistics
A simple program for comparing data sets with simple algorithms.
Replace the data in the data.db file with your own data using an sqlite3 manager. Tables are read as data set names, and the values are read as the data points of the data sets. Load the application, choose an algorithm, and the program will find the pairs that best match each other. -
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dbtesma
efficient data generation for benchmarks and performance analysis
Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies. -
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ResultsDB
Manage your algorithm results.
