Search Results for "population one"
Sort By:
Showing 47 open source projects for "population one"
View related business solutions-
Our Free Plans just got better! | Auth0 by OktaYou asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
-
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
-
1
Population Shift Monitoring
Monitor the stability of a Pandas or Spark dataframe
popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets. popmon creates histograms of features binned in time-slices, and compares the stability of the profiles and distributions of those histograms using statistical tests, both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher-dimensional, e.g. it can also track correlations between any two... -
2
Mixed-effects models in Julia
A Julia package for fitting (statistical) mixed-effects models
... Treatment 1 versus the placebo". If the potential levels of the covariate are fixed and reproducible, e.g. the levels for Sex could be "F" and "M", they are modeled with fixed-effects parameters. If the levels constitute a sample from a population, e.g. the Subject or the Item at a particular observation, they are modeled as random effects. -
3
Unleash
Simplify your code production
... a segment of users based on a set of any attributes of your application. Prevent flaky experiences for your users when your roll out new features. Unleash makes sure that any new feature stays consistent across your user population. Hosted, or self-hosted: it’s your call. Choose the one that better fits your needs. You’re free to host Unleash from anywhere in the world. -
4
gplearn
Genetic Programming in Python, with a scikit-learn inspired API
... describes a relationship. It begins by building a population of naive random formulas to represent a relationship between known independent variables and their dependent variable targets in order to predict new data. Each successive generation of programs is then evolved from the one that came before it by selecting the fittest individuals from the population to undergo genetic operations. -
Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
-
5
popoolation
estimate natural variation and positive selection
PoPoolation is a pipeline for analysing pooled next generation sequencing data. Currently PoPoolation allows to calculate Tajima’s Pi, Watterson’s Theta and Tajima’s D with a sliding window approach for chromosomes or for set of genes. One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. We believe that PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools. Documentation: https... -
6
GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input... -
7
DEEP
Differential Evolution Entirely Parallel Method
The Differential Evolution, introduced in 1995 by Storn and Price, considers the population, that is divided into branches, one per computational node. The Differential Evolution Entirely Parallel method takes into account the individual age, that is defined as the number of iterations the individual survived without changes. The introduced improvements are: (I) allow several oldest individuals to be overwritten by the same number of best ones in the population, (II) new selection rule uses... -
8
FUNseq
Cell segmentation/tracking for determing aggresive cancer phenotypes
This page shows the cell segmentation/tracking program for FUNseq pipeline. Identifying a sparse subset of cancer cells from a large heterogeneous population, based on aggressive phenotypes (like invasive migration, multipolar divisions, or asymmetric lineage development) is challenging. Also, such aberration identification is critical, as cells exhibiting these characteristics are linearly correlated with poor prognosis. A high-throughput screening microscope has been developed in our... -
9
DFE-alpha
inference of the distribution of fitness effects of new mutations and
... and genetic drift and the other set of sites assumed to be evolving neutrally. The DFE is assumed to be a gamma distribution with shape parameter beta (β), or a model in which all mutations have equal effects can be run. The mean mutational effect is estimated on a scale Nes, where Ne is a measure of the recent effective population size and s is the selection strength acting on a new mutation. -
The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
-
10
PopulationCounter
Displays a dynamically updated estimate of the global human population
.... The following command line parameters are supported: /n N N is the initial population count (no commas!) /d D D is the census date in MM/DD/YYYY format only /g G G is the annual growth rate (not a percentage!) Sample command line: PopulationCounter /n 7714576923 /d 7/1/2019 /g 0.0107 The date format is fixed and doesn't vary by region. The above growth rate is equivalent to 1.07 percent. The parameter names aren't case sensitive, and they can be prefixed with a hyphen instead of a slash. -
11
stage0
A set of minimal dependency bootstrap binaries
This is a set of manually created hex programs in a Cthulhu Path to madness fashion. Which only have the goal of creating a bootstrapping path to a C compiler capable of compiling GCC, with only the explicit requirement of a single 1 KByte binary or less. Additionally, all code must be able to be understood by 70% of the population of programmers. If the code can not be understood by that volume, it needs to be altered until it satisfies the above requirement. -
12
Popppy
Population Propogation in Python. Simulate births, marriages, deaths
EXPECTED RELEASE DATE 12TH AUG 2020 Popppy simulates a population of men and women over a period of time in 1 year time-steps, implementing marriages, births, and deaths. Execution starts with an input consisting of given numbers of men and women of particular ages. It does a decent job predicting 10 to 20 years ahead. Beyond that the input parameters fertility rate, marriage age and mortality rates could change in an unpredictable manner. The tool could also be useful and fun for a student... -
13
EBCS for Feature Selection
Enhanced Binary Cuckoo Search with Frequent Values and RST (EBCS)
This Filter Feature Selection approach (EBCS) with other tasks developed by PHP Programing language. Initial parameters for EBCS and FS-BCS as follows: Maximum number of iteration is 20. Population size is 20. Probability (P) is 0.25. Alpha is 0.1. After Downloading and copying the EBCS directory to directory root, and request the EBCS/index.php page to show home page which contains the following tasks: 1. The new Approach: EBCS. 2. The baseline approach: FS-BCS. 3. Enhanced... -
14
PsiNorm
A norm calculator for neuropsychological tests for daily use in clinic
... adapted to your patient population/language please contact us at Contact e-mail: psinormsoftware@gmail.com -
15
Imperium Galactica SGEditor
Save game editor for Imperium Galactica 1
Save game editor for Imperium Galactica 1. You can modify a lot of data contained in saved game. The best part is that you can create unique single player free space conquest game by editing entire universe and all planets and reaserch settings and more. It's also a world editor. -
16
Portable Robotics Eye Vergence Control
Eye movements control portable on different robotic stereo heads
This project provides a software module for the control of the binocular coordination of a robotic stereo head, based on a bio-inspired algorithm. The project is now available for the iCub platform to work on YARP [https://github.com/stino78/vergence-control/][1] The algorithm works on the top of a distributed representation of binocular disparity supplied by a population of binocular energy-model neural units. The project allows a robust control and adaptive binocular coordination... -
17
MED-FOES
An Agent-Based Simulation of Invasive Pest Insects
MED-FOES is an implementation of a stochastic Agent-Based Simulation (ABS) system for analyzing demographic changes in a single population of Medfly (Ceratitis capitata) over time. The simulation currently takes population extinction as a given because it aims to give us better estimates of necessary quarantine lengths in areas where Medfly is not currently established but does repeatedly invade. Thus the objective of this software is to estimate the time to local extirpation based on known... -
18
QSdpR
Viral Quasispecies Reconstruction software based on QSdpR algorithm
This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population. -
19
COOP for CRYSTAL
Calculate Crystal Orbital Overlap Population for the CRYSTAL program
A program to calculate Crystal Orbital Overlap Population (COOP) [1] for CRYSTAL program. It can also calculate BCOOP (Balanced COOP) [2]. The program reads in coefficients of crystal orbitals and overlap matrices obtained from the periodic calculations by the CRYSTAL98/03 program. Written by Yang Wang Department of Chemistry,Beijing Normal University Nov. 12th-13th, 2004 Usage: COOP [-v] [-t] [-r] control-file-name -v verbose -t generate control file template... -
20
Forward Simulation
A Wright-Fisher forward population genetics simulation.
The forward simulation code is a tool to model evolution of a population under the Wright-Fisher model. The code incorporates population expansion, bottleneck, speciation and migration. Several selection and fitness mechanisms are available: selective sweeps, foreground selection in one region with a distinct background selection in neighboring regions, epistasis, and truncation selection. The code is implemented in the C++ programming language. -
21
Pixel Empires
A cellular automation simulation governed by probability.
... iteration, the new cells follow the same process. Second, every color is predestined to consume another color if the two make contact. In other words, if Color A consumes Color B, whenever Color A's cells randomly select Color B's cells, that selected cell will be converted to Color A. Third, if the population of a color is below a certain threshold number, this color will randomly choose another color to consume (this chosen color may even be a color that no longer exists on the grid). -
22
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. ExSTraCS was primarily developed... -
23
FMFilter
Fast Model Based Variant Filtering Tool
... heterozygous and de novo), the affected and control individuals to design the filtering mechanism. It provides an environment of analyzing these cases by removing the requirement of advanced computer techniques. It has the capability to filter with control individuals and eliminate the majority of the false alarms specific to a population. It requires negligible memory which enables to handle very large variant files in ordinary computers. -
24
Cosci 1336-261project
This program determines which bacteria are to be used in diagnotics.
This program reads a file called, "Data-Project-1.txt" and determines the average bacteria population of healthy subjects and diseased subjects. It then determines which bacteria will be used to diagnose subjects in a second file called, "Data-Project-2.txt" At the end, it will print out which subjects are considered diseased or healthy. -
25
Cognitive Stability and Flexibility FIT
GPU Accelerated Fitting of Behavioral Data by a Physiological Model
... in the simulated paradigm and the activity of the rule 1 versus rule 2 representing population biases a decision module. The decision module implements a three dimensional nonlinear drift-diffusion process derived from a physiological winner-take-all network with four selective populations, representing the possible behavioral decisions. The decision module integrates top-down input from the rule module with bottom-up input from the decision module to produce decisions and reaction time distributions.