Search Results for "sampler"
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Showing 15 open source projects for "sampler"
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Backtrack Sampler
An easy-to-understand framework for LLM samplers
Backtrack Sampler is a framework designed for experimenting with custom sampling strategies for language models (LLMs), enabling the ability to rewind and revise generated tokens. It allows developers to create and test their own token generation strategies by providing a base structure for manipulating logits and probabilities, making it a flexible tool for those interested in fine-tuning the behavior of LLMs. -
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JAGS is Just Another Gibbs Sampler. It is a program for the statistical analysis of Bayesian hierarchical models by Markov Chain Monte Carlo.
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Meridian
Meridian is an MMM framework
...The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. Meridian uses the No-U-Turn Sampler (NUTS) for Markov Chain Monte Carlo (MCMC) sampling to produce statistically rigorous results, and it includes GPU acceleration to significantly reduce computation time. -
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Tidal
Pattern language
...It includes a simple and flexible notation for rhythmic sequences and an extensive library of patterning functions for combining and transforming them. This allows you to quickly create complex patterns from simple ingredients. By default, sound is made with the featureful SuperDirt synth/sampler, but you can control other synths using Open Sound Control (OSC) or MIDI. Whether you're using SuperDirt or a synth, every filter and effect can be manipulated independently with Tidal patterns. Tidal is embedded in the Haskell language, although you don't have to learn Haskell to learn Tidal. You can learn Tidal through experimentation and play, most Tidal coders have little or no experience in software engineering. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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iOS-9-Sampler
Code examples for the new features of iOS 9
iOS-9-Sampler is a reference application that demonstrates APIs introduced with iOS 9 through small, focused examples. It was designed to build with Xcode 7 and combines Swift and Objective-C source code. The project explores map customization, Core Image text detection, new filters, speech voices, and Audio Unit discovery. Interface examples cover UIStackView, spring animation, Safari View Controller, and system font additions. -
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iOS-10-Sampler
Code examples for new APIs of iOS 10
iOS-10-Sampler is an example application that collects practical demonstrations of APIs introduced with iOS 10. It was created for Xcode 8 and requires a physical iOS device because some examples use Metal. The project covers speech recognition, looped video playback, Live Photo capture, and audio volume fading. Its graphics and machine learning samples use Metal Performance Shaders for handwritten digit detection and real-time image recognition. -
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eCxx
A C++ library for AVR and NodeMCU
NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original... -
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Amazon Braket Ocean Plugin
A Python plugin for using Ocean with Amazon Braket
The Amazon Braket Ocean Plugin is an open-source library in Python that provides a framework that you can use to interact with Ocean tools on top of Amazon Braket. Before you begin working with the Amazon Braket Ocean Plugin, make sure that you've installed or configured the following prerequisites. Download and install Python 3.7.2 or greater from Python.org. If you are using Windows, choose Add Python to environment variables before you begin the installation. Make sure that your AWS... -
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iOS8-Sampler
Code examples for the new features of iOS 8
iOS8-Sampler is a collection of focused code examples for technologies introduced with iOS 8. The application demonstrates audio distortion and delay through AVAudioEngine, along with built-in and custom Core Image filters. Graphics samples cover Metal rendering, uniform streaming, and SceneKit content. Device and privacy examples explore HealthKit, Touch ID, touch-radius data, altitude sensing, and step counting. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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iOS7-Sampler
Code examples for the new features of iOS 7
iOS7-Sampler is an educational application containing examples for major frameworks and behaviors introduced with iOS 7. It demonstrates UIKit Dynamics, speech synthesis, custom view-controller transitions, spring animations, and parallax motion effects. Location and connectivity samples cover 3D maps, directions, iBeacon monitoring, and Multipeer Connectivity over nearby wireless links. -
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Vim colorschemes
One colorscheme pack to rule them all!
...The project organizes color files in a predictable structure so :colorscheme just works. Because it is a collection, it includes both minimalist palettes and high-contrast styles, covering a wide range of preferences. It serves as a convenient sampler for users building or refreshing their Vim setup. -
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RStan
RStan, the R interface to Stan
...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 Stan’s automatic differentiation library, provides diagnostics, model comparison, posterior predictive checks, etc. It is used in research, applied statistics, and modelling workflows where flexibility and rigor in Bayesian methods are required. -
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Jmeter Enhancements
This project contains some useful enhancements implemented in Jmeter.
...For testing an application which has a form or request that takes multiple data entries from a large no of users and the data entries are required to be unique for different users, it becomes a redundant work to type .csv files with unique data entries. Bandwidth Throttling: More enhancements such as follows are also implemented. -Bandwidth throttling -Dynamic bandwidth throttling -IP Spoofing -TPC-C Sampler -Smtp config element -Filterd Results Plugin please refer description.pdf in files. -
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knowceans
Utility classes from maps to search engine to random samplers
.... --- Highlights: --- org.knowceans.util: IndexQuickSort, TableList: apply order of one array/list to others +++ Vectors, ArrayUtils: array convenience +++ RandomSamplers, CokusRandom, ArmSampler, Densities: random sampling and distributions +++ Arguments: command line parser +++ StopWatch, Which, ExternalProcess: runtime stuff +++ ParallelFor: OpenMP workalike +++ PatternString, NamedGroupRegex: regex convenience --- org.knowceans.corpus: CorpusSearcher: full-text search engine +++ LabelNumCorpus: svmlight corpus storage and filtering +++ NIPS corpus with text, authors, labels and citations --- org.knowceans.map: InvertibleHashMultiMap, BijectiveHashMap: implement n:m and 1:1 relations. --- Other libs: knowceans-arms = port of the Adaptive Rejection Metropolis Sampler (ARMS) for arbitrary distributions +++ lda-j = port of lda-c, implementing Latent Dirichlet Allocation (LDA) -
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jmeter 2.3.1 sampler for rstatd. if You need graphical representation of cpu states, visit project swiRstatdGraph.
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