Search Results for "python software foundation license" - Page 69
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Showing 4814 open source projects for "python software foundation license"
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other... -
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V2RayCloudSpider
V2RayCloudSpider
V2RSS is an "ecological mining machine" that can perform vertical mining on global providers based on the SSPanel-Uim framework; it can generate bottom-up "aggregation collection" tasks for mainstream protocol headers; it can self-digest and Compared with proxypool , the output is purer and more reliable proxy nodes; it has powerful production features such as self-discovery and service self-healing. -
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Jupyter Dash
Dash v2.11+ has Jupyter support built in
Dash 2.11 and later supports running Dash apps in classic Jupyter Notebooks and in JupyterLab without the need to update the code or use the additional JupyterDash library. If you are using an earlier version of Dash, you can run Dash apps in a notebook using JupyterDash. This page documents additional options available when running Dash apps in notebooks as well as troubleshooting information. -
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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Django REST Framework User
This Django User Model is customised user model
This Django User Model is a customized user model keeping in mind the practical need. JWT Support (Using Simple JWT) Mobile Number, single field for full name, REST API to register, REST API to login, MultiModelBackend: User can login using either of mobile, email or username. REST API to login with OTP (Same API endpoint as for OTP Verification; Set is_login: true while sending JSON request). OTP Verification for mobile and email, API to register / login with OTP (no pre-registration... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,... -
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CoffeeScript
Unfancy JavaScript
CoffeeScript is a lightweight programming language that compiles into JavaScript. It adds syntactic sugar inspired by Ruby, Python, and Haskell to improve brevity and readability, while producing predictable and efficient JavaScript output. Its design emphasizes that “It’s just JavaScript,” meaning any JS library works seamlessly, and compiled output is clean and performant. Adds syntactic sugar like list comprehensions and destructuring assignment. Supports literate programming via... -
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OpenPRED-Perú
OpenPRED-Perú es una implementación de OpenPRED para Perú
OpenPRED-Perú es una herramienta de simulación para apoyar el proceso de planificación de redes eléctricas de distribución, la cual se encuentra implementada en un documento de planilla de cálculo de LibreOffice Calc. Utiliza las funciones Macros de LibreOffice Basic para desarrollar la lógica del procedimiento, conjuntamente con módulos de software Open Source desarrollados en el marco del proyecto OpenREiD (c) (Software de simulación y optimización de redes eléctricas de distribución),... -
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ImaGC
image editor
an easy way to personalize images. -
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Binarytree
Python library for studying Binary Trees
Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms. -
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CEA Simplified
tkinter wrapper for NASA CEA focused in rocket chemistry explanations
CEA Simplified is a GUI for a released version of NASA's CEA program from the 1970s. It is similar to the rocketCEA library for python or the ProPEP GUIs in that it attempts to provide an updated tool for using the same underlying software, but it is more focused on being beginner friendly. -
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The Pythonizer
Converts a Java program to the equivalent Python program
An automatic source-code converter (transcompiler) that converts a valid Java program to the equivalent Python program. Uses Python naming conventions and indentation convention. -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing... -
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AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate... -
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Webifier
A GitHub Action to deploy Notebooks, Markdowns
Webifier is a stand-alone build tool for converting any repository into a deployable jekyll website. You can define your pages via yaml files and provide notebooks, markdown and pdf and other files for Webifier to render. It uses python markdown providing additional control over attributes and other extensive functionalities. It lets you define and direct how your web pages feel and automatically manages your assets, making it a perfect solution for fast static website development and a... -
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Sneedacity
Audio Editor
Sneedacity (formerly Audacity) is an easy-to-use, multi-track audio editor and recorder for Windows, Mac OS X, GNU/Linux and other operating systems. Sneedacity aims to provide a telemetry-free experience while otherwise being up-to-date with Audacity's original codebase, with minor improvements being added as (s)needed by contributors and volunteers like you at large. Sneedacity is free software licensed under GPL, version 2. Macros for chaining commands and batch processing. Scripting in... -
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CodeIgniter
Open Source PHP Framework (originally from EllisLab)
CodeIgniter is a lightweight PHP web framework that focuses on simplicity, performance, and minimal configuration to get started quickly. It adopts an MVC-style or loosely structured approach depending on developer preference, with core components for routing, input handling, output views, and database abstraction. The framework provides convenience libraries for sessions, form validation, encryption, email, file uploads, and more, all optional so the footprint stays small. Because it... -
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Webware for Python
The Classic Webware for Python
Webware for Python is a suite of components for dynamic, server-side web development. -
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Skillmap
A tool for generating skill map/tree like diagram
A tool for generating a skill map/tree-like diagram. Skill tree is a term used in video games, and it can be used for describing roadmaps for software project development as well. When you are building a software project, you can use the concept of skill tree/technology tree to describe the steps you need to take to build the project. -
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Deep Daze
Simple command line tool for text to image generation
Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and... -
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Cassowary
Run Windows Applications on Linux as if they are native
Run Windows Applications on Linux as if they are native, Use Linux applications to launch files located in the windows vm without needing to install applications on vm. With easy-to-use configuration GUI. -
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Interactive Deep Colorization
Deep learning software for colorizing black and white images
Interactive Deep Colorization is a software project for colorizing black-and-white (grayscale) images using deep learning, allowing users to add a few hints (e.g. scribbles) and get a plausible, fully colorized output. The idea is to merge automatic colorization (via neural networks) with optional user guidance — so if the automatic model’s guess isn’t quite right, the user can nudge colors via hints to steer the result, achieving more controlled, satisfying outputs. The project includes... -
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Rank-BM25
A Collection of BM25 Algorithms in Python
A collection of algorithms for querying a set of documents and returning the ones most relevant to the query. The most common use case for these algorithms is, as you might have guessed, to create search engines. -
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the...
