Search Results for "aa-analyzer"
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Showing 6 open source projects for "aa-analyzer"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Slot math toolkit
Python toolkit for slot machine RTP verification and variance analysis
...For the full Sugar Rush Super Scatter methodology including paytable breakdowns and Super Scatter multiplier ranges (x100/x500/x5000/x50000), see the detailed mechanics breakdown at https://sugarrush-super-scatter.com/ Core features: - RTP Calculator with 95% confidence intervals - Bonus Buy ROI Analyzer (x100 standard, x500 super) - Variance Scorer via coefficient of variation - Session Simulator with bankroll, bet size, stop-loss Install: pip install slot-math-toolkit CLI: slot-math rtp --slot sugar_rush_super_scatter --spins 100000 41 tests, 94% coverage. MIT licensed. Methodology documented in docs/methodology.md. ... -
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MCPerm: Monte Carlo SNP permutation
Monte Carlo permutation method for SNP multiple test correlation
...Methods: MCPerm does not need to shuffle the original genotypes and phenotypes data. It uses Monte Carlo method, employs two-step hypergeometric distribution to generate the random number of genotypes (AA, Aa and aa) in cases and controls. -
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EXTE recognizes temporal expressions in a text. Temporal expressions are any references to the TIME e.g.: "today", "12th march 2006", "as soon as he woke up". This analyzer will recognize three languages: Spanish, English and French.
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FNA is a command line tool for creating and analyzing financial networks with concepts developed in social network analysis and network science. NOTE: the project has been moved to http://code.google.com/p/financial-network-analyzer/
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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JTSA is an educational time series analysis tool for simple calculations and forecasts using the additional or multiplicative seasonal decomposition method.
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The Calculus project should include a derivator for multiple derivatives, and integrator for iterated integrals and other calculus features that I am not familiar with as of yet. This project is based on C (C++) and GNU bc.
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