Search Results for "s-parameters" - Page 4
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Showing 1958 open source projects for "s-parameters"
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Ts.ED
Ts.ED is a Node.js and TypeScript framework on top of Express
Ts.ED is a Node.js and TypeScript Framework on top of Express/Koa.js. Ts.ED is a framework on top of Express/Koa to write your application with TypeScript (or ES6). It provides a lot of decorators and guidelines to make your code more readable and less error-prone. Create your Rest API easily and create different version paths of your API compliant with OpenSpec and JsonSchema. Don't waste your time with configuration, the server is preconfigured to start quickly. Choose between different... -
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Reproxy
Simple edge server / reverse proxy
... files. Starting reproxy requires at least one provider defined. The rest of the parameters are strictly optional and have sane default. -
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Nock
HTTP server mocking and expectations library for Node.js
HTTP server mocking and expectations library for Node.js. Nock can be used to test modules that perform HTTP requests in isolation. For instance, if a module performs HTTP requests to a CouchDB server or makes HTTP requests to the Amazon API, you can test that module in isolation. Nock works by overriding Node's http.request function. Also, it overrides http.ClientRequest too to cover for modules that use it directly. -
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Megatron
Ongoing research training transformer models at scale
... and training sophisticated natural language processing models with billions and trillions of parameters. Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. -
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Docker tools
Useful tools when you are running your project inside docker container
Running a DNS service for docker containers always messes with the DNS settings of your workstation. Especially if these DNS/discovery services themselves run inside docker containers on an active development workstation. Resolving DNS issues is not an easy task. Contrary to that the hosts file is simple. The script first removes all existing entries of all the hostnames of containers created by docker-compose. Configure the environment variables in your .env file. That way it can be used by... -
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pycm
Multi-class confusion matrix library in Python
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. -
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C++ Requests
C++ Requests: Curl for People, a spiritual port of Python Requests
C++ Requests is a simple wrapper around libcurl inspired by the excellent Python Requests project. Despite its name, libcurl’s easy interface is anything but, and making mistakes misusing it is a common source of error and frustration. Using the more expressive language facilities of C++11, this library captures the essence of making network calls into a few concise idioms. If there's no package for your distribution, try making one! If you do, and it is added to your distribution's... -
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Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already... -
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Sacred
Sacred is a tool to help you configure, andorganize IDSIA experiments
Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment. A very convenient way of the local variables in a function to define the parameters your experiment uses. You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change... -
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pq
Pure Go Postgres driver for database/sql
In most cases clients will use the database/sql package instead of using this package directly. Similarly to libpq, when establishing a connection using pq you are expected to supply a connection string containing zero or more parameters. A subset of the connection parameters supported by libpq are also supported by pq. Additionally, pq also lets you specify run-time parameters (such as search_path or work_mem) directly in the connection string. This is different from libpq, which does... -
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TIGRE
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
TIGRE is an open-source toolbox for fast and accurate 3D tomographic reconstruction for any geometry. Its focus is on iterative algorithms for improved image quality that have all been optimized to run on GPUs (including multi-GPUs) for improved speed. It combines the higher-level abstraction of MATLAB or Python with the performance of CUDA at a lower level in order to make it both fast and easy to use. TIGRE is free to download and distribute: use it, modify it, add to it, and share it. Our... -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,... -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
Neural operator is a novel deep learning architecture. It learns an operator, which is a mapping between infinite-dimensional function spaces. It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function... -
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LLM Foundry
LLM training code for MosaicML foundation models
Introducing MPT-7B, the first entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Large language models (LLMs) are changing the world, but for those outside well-resourced industry labs, it can be extremely difficult to train and deploy... -
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APIAuto
The most advanced tool for HTTP API
The most powerful and easy-to-use HTTP interface tool for agile development, machine learning zero-code testing, code generation and static inspection, document generation and cursor suspension comments. A one-stop experience integrating documentation, testing, mocking, debugging, and management, as well as efficient and easy-to-use shortcut keys such as one-key formatting, commenting/uncommenting, etc. In terms of common functions, it far exceeds Postman, Swagger, YApi and other open-source... -
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dhall-haskell
Maintainable configuration files
..., but this will save you a lot of time so that you don't have to build as many dependencies from scratch the first time. If you prefer installing the binaries locally in a nix shell environment instead, just run nix-shell in the top-level directory. This option provides additional flexibility with respect to overriding some of the default parameters (e.g. the compiler version), which makes it particularly useful for developers. -
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pybaselines
Library of algorithms for baseline correction of experimental data
pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as... -
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GPTel
A no-frills ChatGPT client for Emacs
... to the ChatGPT buffer. It will ask you for the key if you skipped the previous step. Run it with a prefix-arg to start a new session. In the gptel buffer, send your prompt with M-x gptel-send, bound to C-c RET. Set chat parameters (GPT model, directives etc) for the session by calling gptel-send with a prefix argument. -
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Elasticsearch Exporter
Elasticsearch stats exporter for Prometheus
... using a dedicated job with its own scraping interval. Commandline parameters start with a single - for versions less than 1.1.0rc1. Username and password can be passed either directly in the URI or through the ES_USERNAME and ES_PASSWORD environment variables. Specifying those two environment variables will override authentication passed in the URI (if any). -
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go-zero
A cloud-native Go microservices framework with cli tool
go-zero is a web and rpc framework with lots of built-in engineering practices. It’s born to ensure the stability of busy services with resilience design and has been serving sites with tens of millions of users for years. go-zero (listed in CNCF Landscape: https://landscape.cncf.io/?selected=go-zero) is a web and rpc framework with lots of builtin engineering practices. It’s born to ensure the stability of busy services with resilience design and has been serving sites with tens of millions... -
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level
Universal abstract-level database for Node.js and browsers
... TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
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ViZDoom
Doom-based AI research platform for reinforcement learning
.... Async and sync single-player and multi-player modes. Fast (up to 7000 fps in sync mode, single-threaded). Lightweight (few MBs). Customizable resolution and rendering parameters. Access to the depth buffer (3D vision). Automatic labeling of game objects visible in the frame. Access to the list of actors/objects and map geometry.ViZDoom API is reinforcement learning friendly (suitable also for learning from demonstration, apprenticeship learning or apprenticeship via inverse reinforcement learning. -
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MIR
A lightweight JIT compiler based on MIR
MIR means Medium Internal Representation. MIR project goal is to provide a basis to implement fast and lightweight interpreters and JITs. Plans to try MIR light-weight JIT first for CRuby or/and MRuby implementation. Each module can contain functions and declarations and data. Each function has a signature (parameters and return types), local variables (including function arguments) and instructions. Each local variable has a type which can be only a 64-bit integer, float, double, or long... -
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Freqtrade
Free, open source crypto trading bot
.... Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms, and techniques implemented in it. Write your strategy in python, using pandas. Example strategies to inspire you are available in the strategy repository. Download historical data of the exchange and the markets you may want to trade with. Find the best parameters for your strategy using hyper optimization which employs machining learning methods. -
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Laravel Socialite
Laravel wrapper around OAuth 1 & OAuth 2 libraries
Laravel Socialite provides an expressive, fluent interface to OAuth authentication with Facebook, Twitter, Google, LinkedIn, GitHub, GitLab and Bitbucket. It handles almost all of the boilerplate social authentication code you are dreading writing. Laravel Socialite provides an expressive, fluent interface to OAuth authentication with Facebook, Twitter, Google, LinkedIn, GitHub, GitLab and Bitbucket. It handles almost all of the boilerplate social authentication code you are dreading...