Showing 11902 open source projects for "python"

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  • 1
    OneFlow

    OneFlow

    OneFlow is a deep learning framework designed to be user-friendly

    OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous...
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  • 2
    DALI

    DALI

    A GPU-accelerated library containing highly optimized building blocks

    The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,...
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  • 3
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    ...It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear algebra library, the ensmallen numerical optimization library, and parts of Boost. Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. ...
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  • 4
    Playwright for .NET

    Playwright for .NET

    .NET version of the Playwright testing and automation library

    ...Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Cross-platform. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Cross-language. Use the Playwright API in TypeScript, JavaScript, Python, .NET, Java. Test Mobile Web. Native mobile emulation of Google Chrome for Android and Mobile Safari. The same rendering engine works on your Desktop and in the Cloud. Auto-wait. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests.
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  • 5
    JavaCPP

    JavaCPP

    The missing bridge between Java and native C++

    JavaCPP provides efficient access to native C++ inside Java, not unlike the way some C/C++ compilers interact with assembly language. No need to invent new languages such as with SWIG, SIP, C++/CLI, Cython, or RPython. Instead, similar to what cppyy strives to do for Python, it exploits the syntactic and semantic similarities between Java and C++. Under the hood, it uses JNI, so it works with all implementations of Java SE, in addition to Android, Avian, and RoboVM (instructions). More specifically, when compared to the approaches above or elsewhere (CableSwig, JNIGeneratorApp, cxxwrap, JNIWrapper, Platform Invoke, GlueGen, LWJGL Generator, JNIDirect, ctypes, JNA, JNIEasy, JniMarshall, JNative, J/Invoke, HawtJNI, JNR, BridJ, CFFI, fficxx, CppSharp, cgo, pybind11, rust-bindgen, Panama Native, etc.), it maps naturally and efficiently many common features afforded by the C++ language and often considered problematic, including overloaded operators, class and function templates, etc.
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  • 6
    CssSelector Component

    CssSelector Component

    Converts CSS selectors to XPath expressions

    XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted to...
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  • 7
    PyCXX is a set of classes to help create extensions of Python in the C++ language. The first part encapsulates the Python C API taking care of exceptions and ref counting. The second part supports the building of Python extension modules in C++.
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  • 8
    handson-ml3

    handson-ml3

    Fundamentals of Machine Learning and Deep Learning

    handson-ml3 contains the Jupyter notebooks and code for the third edition of the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. ...
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  • 9
    DeepSeek MoE

    DeepSeek MoE

    Towards Ultimate Expert Specialization in Mixture-of-Experts Language

    DeepSeek-MoE (“DeepSeek MoE”) is the DeepSeek open implementation of a Mixture-of-Experts (MoE) model architecture meant to increase parameter efficiency by activating only a subset of “expert” submodules per input. The repository introduces fine-grained expert segmentation and shared expert isolation to improve specialization while controlling compute cost. For example, their MoE variant with 16.4B parameters claims comparable or better performance to standard dense models like DeepSeek 7B...
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  • 10
    Spaceship Prompt

    Spaceship Prompt

    Minimalistic, powerful and extremely customizable Zsh prompt

    Spaceship is a fast, minimal, and extensible Zsh prompt that shows context-aware information without clutter. It exposes “sections” for common developer signals—current directory, Git status, package versions, language runtimes, Docker/Kubernetes context, exit status, and time—then renders only what’s relevant. Configuration is done almost entirely through environment variables, letting you reorder, hide, or customize sections without writing functions. It supports asynchronous segments to...
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  • 11
    quadplay

    quadplay

    The quadplay fantasy console

    ...Supports Xbox, Playstation, SNES, Stadia, Switch, 8bitdo, touch screen, and other controllers. Hundreds of built-in sprites, sounds, and fonts. Program in PyxlScript, a friendly Python-like language. Order-independent, 4-bit alpha transparency. Native 2.5D graphics with z-order.
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  • 12
    Smile

    Smile

    Statistical machine intelligence and learning engine

    Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! ...
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  • 13
    OpenWhisk

    OpenWhisk

    Apache OpenWhisk is an open source serverless cloud platform

    Apache OpenWhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications. The OpenWhisk platform supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run in response to...
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  • 14
    Proxy_Pool

    Proxy_Pool

    Python crawler proxy IP pool (proxy pool)

    The main function of the crawler agent IP pool project is to regularly collect free agents published on the Internet for verification and storage, and to regularly verify and store agents to ensure the availability of agents, and to provide API and CLI. At the same time, you can also expand the proxy source to increase the quality and quantity of the proxy pool IP.
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  • 15
    Build your own X

    Build your own X

    Master programming by recreating your favorite technologies

    build-your-own-x is a massive, community-curated roadmap of hands-on tutorials that teach you to re-implement complex systems from scratch—things like databases, compilers, operating systems, interpreters, web servers, neural networks, regex engines, and more. Rather than offering abstract theory, it organizes step-by-step guides by topic and by programming language, so you can pick a project that fits your stack and skill level. The focus is on demystifying internals: you don’t just use a...
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  • 16
    Bend

    Bend

    A massively parallel, high-level programming language

    Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic...
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  • 17
    JupyterLab LSP

    JupyterLab LSP

    Coding assistance for JupyterLab (code navigation + hover suggestions

    Hover over any piece of code; if an underline appears, you can press Ctrl to get a tooltip with function/class signature, module documentation or any other piece of information that the language server provides. Critical errors have red underline, warnings are orange, etc. Hover over the underlined code to see a more detailed message. Use the context menu entry, or Alt + 🖱️ to jump to definitions/references (you can change it to Ctrl/⌘ in settings); use Alt + o to jump back. Place your...
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  • 18
    Lexbor

    Lexbor

    Lexbor is development of an open source HTML Renderer library

    ...Lexbor’s code is optimized for ease of access in end-user applications and across programming languages. You can effortlessly wrap all the capabilities of the library in, say, Python to power your end-user or backend applications in a new environment. In other words, lexbor offers a feature-rich core that developers can build upon as they see fit.
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  • 19
    Extism

    Extism

    The Universal Plug-in System. Extend anything with WebAssembly

    Extism is a plug-in system for everyone. We've carefully designed it to be flexible, fitting into codebases of all shapes and sizes, but opinionated enough so that things Just Work™ the way they should. Extism's goal is to make all software programmable. You can use Extism in your codebase, regardless of the programming language. We support several environments through our official Host SDKs, and are adding more language support all the time. A plug-in system is software that enables your...
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  • 20
    Powerline Go

    Powerline Go

    A beautiful and useful low-latency prompt for your shell

    A Powerline-like prompt for Bash, ZSH, and Fish. All of the version control systems supported by powerline shell give you a quick look into the state of your repo. The current branch is displayed and changes background color when the branch is dirty. When the local branch differs from the remote, the difference in number of commits is shown along with ⇡ or ⇣ indicating whether a git push or pull is pending. powerline-go uses ANSI color codes, these should nowadays work everywhere, but you...
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  • 21
    Okteto

    Okteto

    Develop your applications directly in your Kubernetes Cluster

    ...Okteto allows you to develop inside a container. When you run out to up your Kubernetes deployment is replaced by a development container that contains your development tools (e.g. maven and jdk, or npm, python, go compiler, debuggers, etc). This development container can use any docker image.
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  • 22
    manticoresearch

    manticoresearch

    Easy to use open source fast database for search

    Manticore Search is an easy to use open source fast database for search. Modern MPP architecture and smart query parallelization capabilities allow to fully utilize all your CPU cores to lower response time as much as possible, when needed. Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. It speaks...
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  • 23
    AWS Encryption SDK for Java
    ...It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and JavaScript) that determines which wrapping keys you use to protect your data. Then you encrypt and decrypt your data using straightforward methods provided by the AWS Encryption SDK. The AWS Encryption SDK does the rest. Without the AWS Encryption SDK, you might spend more effort on building an encryption solution than on the core functionality of your application. ...
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  • 24
    nb2mail

    nb2mail

    Send a notebook as an email

    This repo contains a jupyter nbconvert exporter to convert notebooks to multipart MIME, and a postprocessor to send it via smtp. nb2mail does not do anything by itself. It provides an export format ("mail") and postprocessor ("SendMailPostProcessor"). Please see the nbconvert documentation and example configuration for more information.
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  • 25
    BIG-bench

    BIG-bench

    Beyond the Imitation Game collaborative benchmark for measuring

    BIG-bench (Beyond the Imitation Game Benchmark) is a large, collaborative benchmark suite designed to probe the capabilities and limitations of large language models across hundreds of diverse tasks. Rather than focusing on a single metric or domain, it aggregates many hand-authored tasks that test reasoning, commonsense, math, linguistics, ethics, and creativity. Tasks are intentionally heterogeneous: some are multiple-choice with exact scoring, others are free-form generation judged by...
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