Search Results for "probability" - Page 4
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Showing 160 open source projects for "probability"
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wxpy
Probably the most elegant Wechat personal number API
On the basis of itchat, wxpy improves the ease of use of the module through a large number of interface optimizations and provides rich function expansion. All in all, it can be used to automate the operation of various WeChat personal accounts. Judging from the recent feedback (late June 2017), there is a certain probability that the use of robots may be restricted from logging in. It is mainly manifested in the inability to log in to Web WeChat (but does not affect other platforms such as mobile phones). Comprehensive object-oriented interface, more elegant invocation. Default multi-threaded response message, faster reply. Contains practical. Receive warnings with WeChat in other projects with just two lines of code. ... -
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Low-power approximate adders provide basic building blocks for approximate computing hardware that have shown remarkable energy efficiency for error-resilient applications (like image/video processing, computer vision, etc.), especially for battery-driven portable systems. In this paper, we present a novel scalable, fast yet accurate analytical method to evaluate the output error probability of multi-bit low power adders for a predetermined probability of input bits. Our method recursively computes the error probability by considering the accurate cases only, which are considerably smaller than the erroneous ones. Our method can handle the error analysis of a wider-range of adders with negligible computational overhead. ...
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Solar Wi-Fi weather station on ESP12
Solar Wi-Fi weather station on ESP12
#ESP.Meteo: Solar Wi-Fi weather station on ESP12 + ionistor + solar panel Current Functionality: *Forecasting the probability of frosts (according to the methods of Professor Brounov) *Forecast of the height of the lower edge of the cloud (VNGO by Selezneva) *Calculation of the height of the sensor according to the barometric formula (altimeter, for other projects) *Measurement of street temperature *Measurement of outdoor humidity *Measurement of street pressure *Calculation of the dew point *Monitoring of voltage on ionistors (charge-discharge control) *Monitoring the opening of the box flap with potatoes *Monitoring the system time-out every 5 minutes (operating time ~ 480 ms) *Monitoring the temperature on the balcony (the ability to connect up to 16 sensors DS18B20: 2 groups of 8 sensors per two APIKEY) *Sending data to the Thingspeak cloud *Sending data to Twitter -
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Investing
Investing Returns on the Market as a Whole
...The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields positive returns, even accounting for extreme market crashes and recessions. The visualizations show “return curves” for different starting years and durations, and also illustrate the probability of losses over various time horizons. The project is centered on transparency in finance and encourages users to examine the data themselves; the code is shared in R and uses ggplot2 for plotting. -
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Cambridge Rocketry Simulator
Simulate high power rocket flights with splash down plots
...Parachute descent is also simulated. 3D flight trajectories are produced as well as detailed tabular flight data. Running in Monte Carlo mode allows generates multiple possible flight paths and splash down plots, indicating the probability of landing in an area. Peer-reviewed publication in the Journal of Open Research Software (JORS) http://doi.org/10.5334/jors.137 "Cambridge Rocketry Simulator – A Stochastic Six-Degrees-of-Freedom Rocket Flight Simulator" -
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PB-sQF_BacterialTyping
Bacterial Typing from either assembled or raw short reads file
Probability Binning - signature Quadratic Form, PB-sQF, types unknown sequence to one of the 628 bacterial library genomes which gives the smallest test statistics thus most similar library strain. The input file is the k-mer counts of the unknown assembled genome sequence or raw short reads file in decimal format generated by KAnalyze developed by P. -
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EBprot
Bayesian Analysis of labeling-based Quantitative Proteomics Data
EBprot implements a hierarchical mixture model directly representing the peptide-protein map. The model fit is used to score differential expression of proteins in a (signed) probability scale based on reproducible quantification over multiple peptides. The package takes as input a data matrix with each row containing the data for one peptide, including protein and peptide identifier and peptide ratio(s), and returns the protein-level score table with PPscore, BFDR, Posterior Odds score, and flag for each comparison. -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed... -
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Sched-SPM
A C++ schedule generator based on Genetic Algorithm and Hill Climbing
...The generated output XML file is accordance with Microsoft Project 2010 and could be open and edited within MS Project. It supports automated scheduling and rescheduling. Parameters of GA such as population size, generation number, mutation probability, and crossover probability, and human factors such as learning, communication overhead, learning, and schedule pressure, could be controlled by users. -
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hSDM
R package for hierarchical species distribution models
...Such models allows interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results. -
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GloVe
GloVe model for distributed word representation
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors... -
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RStan
RStan, the R interface to Stan
RStan is the R interface to Stan, a C++ library for statistical modeling and high-performance statistical computation. It lets users specify models in the Stan modeling language (for Bayesian inference), compile them, and perform inference from R. Key inference approaches include full Bayesian inference via Hamiltonian Monte Carlo (specifically the No-U-Turn Sampler, NUTS), approximate Bayesian inference via variational methods, and optimization (penalized likelihood). RStan integrates with... -
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Ava: Testdata Xsl
generates Testdata on base of excel: creates xml,excel,csv,html,sql,+
this tool for test-data-generation receives an 'excel-sheet' as primary input. second important paramter is the 'number of test-records to produce'. The excel-data will be reused as long data is needed. This tool is hightly paramatrisazable by the use of 'xsl scripts'. data can be created, updated, modified and finally exported in a format of your choice Main Fuctions: (1) Generates Testdata (excel, xsl, xml) (2) Exports generated testdata in multiple formats (csv, excel, html,... -
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GaussianSort
sorts normally distributed dataset
This library implements bucket sorting for a normally distributed dataset. Data is bucketed by cumulative probability. Advantage is that sorting is now multi-thread. The sort method in Java Collections class is single-thread. -
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fitGCP
Fitting genome coverage distributions with mixture models
...Making this information accessible can improve the quality of sequencing experiments and quantitative analyses. fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147 -
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MetarSweeper
MetarSweeper is a minesweeper game :)
MetarSweeper is a minesweeper game, with one difference from the other variants. It takes guessing to the next level, making it not some random thing, but demanding that the map may be solved with predetermined probability. -
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Tail Probability Calculator
Tail probability calculator for continuous random variable
A suite of Matlab functions that calculate the tail probability / cdf / pdf / quantile of linear combination of random variables in one of the following classes: (1) symmetric random variables with support on the real axis (normal, Student's t, uniform and triangular); (2) random variables with support on the positive real axis (chi-squared and log-Lambert W x chi-squared distributions; inverse gamma distribution is temporarily disabled due to numerical issues). -
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LFSpro
Estimating TP53 Mutation Carrier Probability in Families with LFS
...A new method is needed for clinical counselors because of the limitations of current clinical criteria. LFSpro is built on a Mendelian model and estimates the TP53 mutation probability through Elston-Stewart algorithm with accuracy. Unlike previously used models, our model incorporates de novo mutation rate, which greatly improved estimation accuracy. -
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Airean
GSM air interface
...Currently the following devices are supported: * Ettus Research USRP * Great Scott Gadgets HackRF (will be implemented when the device is released) Airean has the following capabilities: * Scan the GSM spectrum * Show nearby GSM base stations on a map * Monitor broadcast channels for active mobile terminals * With knowledge of session key: decode downlink SMS messages and audio * By interfacing to external programs: obtain session key from a captured communication with high probability For more information, see the Wiki section. -
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FamSeq
Variant calling on the basis of pedigree information
...In family-based sequencing studies, information from all family members should be utilized to more accurately identify new germline mutations. FamSeq serves this purpose by providing the probability of an individual carrying a variant given his/her entire family’s raw measurements. FamSeq accommodates de novo mutations and can perform variant calling at chromosome X. To accommodate variations in data complexity, FamSeq consists of three distinct implementations of the Mendelian genetic model: the Bayesian network algorithm, Elston-Stewart algorithm and Markov chain Monte Carlo algorithm. ... -
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fusie
Fuzzy scala inference engine
Rewriting from Java to Scala and improving my university project on course Artifical Intelligence Systems. About project in russian: http://brunneng.blogspot.com/2013/06/fuzzy-scala-inference-engine-fusie.html Can be used from maven: <dependency> <groupId>net.sf.brunneng.fusie</groupId> <artifactId>fusie</artifactId> <version>0.8.1</version> </dependency> -
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QPNet
Synchronous Petri Nets' emulator
QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать. -
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jrdistribution
Combines R console with GUI for analysis of probability distributions.
JRdistribution project is an attempt to combine a convenient GUI with the power of R language to compute probability distributions' parameters. We provide a dozen of probability distributions which you can analyze changing their parameters using both graphical interface and R console. Using the menu, any time you can get some useful output, e. g. expected value or probability density plot. You are also able to perform more complex computing being provided R console waiting for your orders.GUI and R console are connected and you can change the probability parameters in the graphical interface and then use them in your script. ... -
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sdEM
Stochastic Discriminative Expectation Maximization (sdEM)
...We show how this learning algorithm can be used to train probabilistic generative models by minimizing different discriminative loss functions, such as the negative conditional log-likelihood and the Hinge loss. The resulting models trained by sdEM are always generative (i.e. they define a joint probability distribution) and, in consequence, allows to deal with missing data and latent variables in a principled way either when being learned or when making predictions. -
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VariantMaster
Extract causative variants for monogenic and sporadic genetic diseases
...The algorithm takes into account predicted variants (SNPs and indels) in affected individuals or tumor samples and utilizes the row (BAM) data to robustly estimate the conditional probability of segregation in a family, as well as the probability of it being de novo or somatic. In familial cases, various modes of inheritance are considered: X-linked, autosomal dominant, and recessive (homozygosity or compound heterozygosity). Moreover, VariantMaster integrates phenotypes and genotypes, and employs Annovar to produce additional information as allelic frequencies in general population and damaging scores.
