Showing 1938 open source projects for "s-parameters"

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  • 1
    Copulas

    Copulas

    A library to model multivariate data using copulas

    ... histograms, 2D scatterplots and 3D scatterplots. Access & manipulate learned parameters. With complete access to the internals of the model, set or tune parameters to your choosing.
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  • 2
    DiffEqBayes.jl

    DiffEqBayes.jl

    Extension functionality which uses Stan.jl, DynamicHMC.jl

    This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
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  • 3
    VoronoiFVM.jl

    VoronoiFVM.jl

    Solution of nonlinear multiphysics partial differential equations

    Solver for coupled nonlinear partial differential equations (elliptic-parabolic conservation laws) based on the Voronoi finite volume method. It uses automatic differentiation via ForwardDiff.jl and DiffResults.jl to evaluate user functions along with their jacobians and calculate derivatives of solutions with respect to their parameters.
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  • 4
    LibPQ.jl

    LibPQ.jl

    A Julia wrapper for libpq

    LibPQ.jl is a Julia wrapper for the PostgreSQL libpq C library.
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  • 5
    Transformer Reinforcement Learning X

    Transformer Reinforcement Learning X

    A repo for distributed training of language models with Reinforcement

    trlX is a distributed training framework designed from the ground up to focus on fine-tuning large language models with reinforcement learning using either a provided reward function or a reward-labeled dataset. Training support for Hugging Face models is provided by Accelerate-backed trainers, allowing users to fine-tune causal and T5-based language models of up to 20B parameters, such as facebook/opt-6.7b, EleutherAI/gpt-neox-20b, and google/flan-t5-xxl. For models beyond 20B parameters, trlX...
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  • 6
    simple-router

    simple-router

    Simple, fast and yet powerful PHP router that is easy to integrate

    Simple, fast, and yet powerful PHP router that is easy to integrate in any project. Heavily inspired by the way Laravel handles routing, with both simplicity and expandability in mind. With a simple-router, you can create a new project fast, without depending on a framework.
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  • 7
    Ziggy

    Ziggy

    Use your Laravel routes in JavaScript

    Ziggy provides a JavaScript route() function that works like Laravel's, making it a breeze to use your named Laravel routes in JavaScript. Ziggy supports Laravel's route-model binding, and can even recognize custom route key names. If you pass route() a JavaScript object as a route parameter, Ziggy will use the registered route-model binding keys for that route to find the correct parameter value inside the object. If no route-model binding keys are explicitly registered for a parameter,...
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  • 8
    DiffOpt.jl

    DiffOpt.jl

    Differentiating convex optimization programs w.r.t. program parameters

    DiffOpt.jl is a package for differentiating convex optimization programs (JuMP.jl or MathOptInterface.jl models) with respect to program parameters. Note that this package does not contain any solver. This package has two major backends, available via the reverse_differentiate! and forward_differentiate! methods, to differentiate models (quadratic or conic) with optimal solutions. Differentiable optimization is a promising field of convex optimization and has many potential applications in game...
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  • 9
    InfiniteOpt.jl

    InfiniteOpt.jl

    An intuitive modeling interface for infinite-dimensional optimization

    A JuMP extension for expressing and solving infinite-dimensional optimization problems. InfiniteOpt.jl provides a general mathematical abstraction to express and solve infinite-dimensional optimization problems (i.e., problems with decision functions). Such problems stem from areas such as space-time programming and stochastic programming. InfiniteOpt is meant to facilitate intuitive model definition, automatic transcription into solvable models, permit a wide range of user-defined...
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  • 10
    Bayesian Statistics

    Bayesian Statistics

    This repository holds slides and code for a full Bayesian statistics

    This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used...
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  • 11
    Zygote

    Zygote

    21st century AD

    Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage.
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  • 12
    PEFT

    PEFT

    State-of-the-art Parameter-Efficient Fine-Tuning

    Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full fine...
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  • 13
    Alpa

    Alpa

    Training and serving large-scale neural networks

    Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code.
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  • 14
    Configure your Node.js Applications

    Configure your Node.js Applications

    Node.js application configuration

    Node-config organizes hierarchical configurations for your app deployments. It lets you define a set of default parameters, and extend them for different deployment environments (development, qa, staging, production, etc.). Configurations are stored in configuration files within your application, and can be overridden and extended by environment variables, command line parameters, or external sources. This gives your application a consistent configuration interface shared among a growing list...
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  • 15
    Monero Miner on Docker Alpine

    Monero Miner on Docker Alpine

    Monero Miner on Docker - Alpine

    A Docker containerized Monero mining setup for efficient deployment.
    Downloads: 0 This Week
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  • 16
    Turing.jl

    Turing.jl

    Bayesian inference with probabilistic programming

    Bayesian inference with probabilistic programming.
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  • 17
    Beautymail for Laravel

    Beautymail for Laravel

    Send beautiful HTML emails with Laravel

    Beautymail makes it super easy to send beautiful responsive HTML emails. Send beautiful HTML emails with Laravel.
    Downloads: 0 This Week
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  • 18
    Bayesian Julia

    Bayesian Julia

    Bayesian Statistics using Julia and Turing

    Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from...
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  • 19
    find-my-way

    find-my-way

    A crazy fast HTTP router

    A crazy fast HTTP router, internally uses a highly performant Radix Tree (aka compact Prefix Tree), supports route params, wildcards, and it's framework is independent. You can set a custom length for parameters in parametric (standard, regex and multi) routes by using maxParamLength option, the default value is 100 characters. If you are using a regex-based route, find-my-way will throw an error if detects potentially catastrophic exponential-time regular expressions (internally uses safe...
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  • 20
    XIU2/CloudflareSpeedTest

    XIU2/CloudflareSpeedTest

    "Preferred IP" Test Cloudflare CDN latency and speed

    ... is completed, the fastest 10 IPs will be displayed by default. The default parameters are used for direct running. If you want the speed measurement results to be more comprehensive and meet your own requirements, you can customize the parameters. This project also supports other CDN / website IP delay speed measurement.
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  • 21
    Haiku

    Haiku

    JAX-based neural network library

    Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used across...
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  • 22
    Notion SDK for JavaScript

    Notion SDK for JavaScript

    Notion JavaScript Client

    Import and initialize a client using an integration token or an OAuth access token. Integrations don't have access to any pages (or databases) in the workspace at first. A user must share specific pages with an integration in order for those pages to be accessed using the API. This helps keep you and your team's information in Notion secure. Start from a new or existing page in your workspace. Insert a new database by typing /database and selecting a full page table. Give it a title. I've...
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  • 23
    Path-to-RegExp

    Path-to-RegExp

    Turn a path string such as `/user/:name` into a regular expression

    The path argument is used to define parameters and populate keys. The RegExp returned by path-to-regexp is intended for ordered data (e.g. pathnames, hostnames). It can not handle arbitrarily ordered data (e.g. query strings, URL fragments, JSON, etc). When using paths that contain query strings, you need to escape the question mark (?) to ensure it does not flag the parameter as optional. Backslashes need to be escaped with another backslash in JavaScript strings. It is possible to write...
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  • 24
    Laravel Forge SDK

    Laravel Forge SDK

    The official Laravel Forge PHP SDK

    The Laravel Forge SDK provides an expressive interface for interacting with Forge's API and managing Laravel Forge servers.
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  • 25
    FSRS4Anki

    FSRS4Anki

    A modern Anki custom scheduling based on Free Spaced Repetition

    A modern spaced-repetition scheduler for Anki based on the Free Spaced Repetition Scheduler algorithm.
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