Search Results for "compiler python linux" - Page 90

Showing 14218 open source projects for "compiler python linux"

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  • 1
    Little Book of Linear Algebra

    Little Book of Linear Algebra

    A concise, beginner-friendly introduction to the core ideas of linear

    This is a concise, beginner-friendly introduction to the fundamental concepts of linear algebra, intended to give readers intuition without overwhelming detail. The material is organized into chapters covering vectors, matrices, linear systems, vector spaces, eigenvalues/eigenvectors, and other central topics, each with worked examples and explanations. There is also a companion “LAB” section for hands-on exploration (e.g. using Python/NumPy) to help cement the connections between algebraic...
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  • 2
    TraceRoot

    TraceRoot

    Find the Root Cause in Your Code's Trace

    TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters,...
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  • 3
    OpenFGA
    A high-performance and flexible authorization/permission engine built for developers and inspired by Google Zanzibar. OpenFGA is designed to make it easy for developers to model their application permissions and add and integrate fine-grained authorization into their applications. It allows in-memory data storage for quick development, as well as pluggable database modules. It currently supports PostgreSQL 14, MySQL 8, and SQLite (currently in beta). It offers an HTTP API and a gRPC API. It...
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  • 4
    Laminar

    Laminar

    Open-source all-in-one platform for engineering AI products

    Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead....
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  • 5
    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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  • 6
    CxxWrap

    CxxWrap

    Package to make C++ libraries available in Julia

    This package aims to provide a Boost. Python-like wrapping for C++ types and functions to Julia. The idea is to write the code for the Julia wrapper in C++, and then use a one-liner on the Julia side to make the wrapped C++ library available there. The mechanism behind this package is that functions and types are registered in C++ code that is compiled into a dynamic library. This dynamic library is then loaded into Julia, where the Julia part of this package uses the data provided through a...
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  • 7
    staq

    staq

    Full-stack quantum processing toolkit

    staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. Inspired by Clang, staq is designed to manipulate OpenQASM syntax trees directly, rather...
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  • 8
    Roach

    Roach

    The complete web scraping toolkit for PHP

    Roach is a complete web scraping toolkit for PHP. It is a shameless clone heavily inspired by the popular Scrapy package for Python. Roach allows us to define spiders that crawl and scrape web documents. But wait, there’s more. Roach isn’t just a simple crawler, but includes an entire pipeline to clean, persist and otherwise process extracted data as well. It’s your all-in-one resource for web scraping in PHP. Roach doesn’t depend on a specific framework. Instead, you can use the core...
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  • 9
    rudderstack

    rudderstack

    Privacy and Security focused Segment-alternative, in Golang

    Quickly deploy flexible, powerful customer data pipelines, then send the data to your entire stack—without the engineering headache. Our complete toolset makes it easy to level-up your customer data stack. Spare your data engineers the headache. Our 180+ integrations, along with custom webhook sources and destinations, save data teams hundred of hours. Say goodbye to different versions of the truth. Our SDKs track anonymous and known users at the source and reconcile users in your warehouse...
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  • 10
    dap-mode

    dap-mode

    Emacs Debug Adapter Protocol

    Emacs client/library for Debug Adapter Protocol is a wire protocol for communication between client and Debug Server. It's similar to the LSP but provides integration with debug server. The API considered unstable until 1.0 release is out. It is tested against Java, Python, Ruby, Elixir and LLDB (C/C++/Objective-C/Swift). The main entry points are dap-debug and dap-debug-edit-template. The first one asks for a registered debug template and starts the configuration using the default values...
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  • 11
    Nerves

    Nerves

    Craft and deploy bulletproof embedded software in Elixir

    Nerves is the open-source platform and infrastructure you need to build, deploy, and securely manage your fleet of IoT devices at speed and scale. Nerves is written in Elixir, but you don’t have to rewrite everything in Elixir to get the advantages of Nerves, simply bring your own code (like C, C++, Python, Rust, and more) and scale up. Nerves use the Erlang runtime system, known for being distributed, fault-tolerant, soft real-time, and highly available. Nerves has the tools you need to...
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  • 12
    kpt

    kpt

    Automate Kubernetes Configuration Editing

    kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring...
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  • 13
    Tribuo

    Tribuo

    Tribuo - A Java machine learning library

    Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts...
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  • 14
    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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  • 15
    Conductor

    Conductor

    Conductor is a microservices orchestration engine

    We built Conductor to help us orchestrate microservices-based process flows at Netflix with the following features, a distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. Simple interface to connect workers, which execute the tasks in workflows. Full operational control over workflows with the ability to pause, resume, restart, retry and...
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  • 16
    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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  • 17
    Algorithm Visualizer

    Algorithm Visualizer

    Interactive Online Platform that Visualizes Algorithms from Code

    Hacker Scripts is a light-hearted collection of small automation and demo scripts that solve amusing everyday tasks or illustrate quick integrations with external services. The repo collects short programs (originally a set of shell and Ruby scripts) and many community contributed ports in other languages to show “how you might automate X” — for example sending a quick SMS, firing off an email, or triggering a coffee maker — with examples and scheduling snippets included. The README explains...
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  • 18
    libgit2

    libgit2

    A cross-platform, portable, linkable Git implementation library

    libgit2 is a portable, pure C implementation of the Git core methods provided as a re-entrant linkable library with a solid API, allowing you to write native speed custom Git applications in any language which supports C bindings. Libgit2 is developed with CMake, and this is be the easiest way to build a binary from the source. The CMake build system provides lots of options to configure the libgit2 build for your particular needs. It’s highly recommended that you build libgit2 as a static...
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  • 19
    CPU Features

    CPU Features

    A cross platform C99 library to get cpu features at runtime

    cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and...
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  • 20
    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...
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  • 21
    FlashMLA

    FlashMLA

    FlashMLA: Efficient Multi-head Latent Attention Kernels

    FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to...
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  • 22
    OpenAI CS Agents Demo

    OpenAI CS Agents Demo

    Demo of a customer service use case implemented with the OpenAI Agents

    This repository is a customer service agent demo built using the OpenAI Agents SDK to showcase how to build a production-style conversational assistant for use cases like airline customer support. It consists of two major parts: a Python backend that orchestrates agent logic (tool calls, handoffs, memory, routing) and a Next.js UI for chat interaction and visualizing agent state. The demo covers tasks you’d expect in customer service: changing flights, checking status, answering FAQs, etc....
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  • 23
    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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  • 24
    KaibanJS

    KaibanJS

    JS-native framework for building and managing multi-agent systems

    JavaScript-native framework for building multi-agent AI systems. Multi-agent AI systems promise to revolutionize how we build interactive and intelligent applications. However, most AI frameworks cater to Python, leaving JavaScript developers at a disadvantage. KaibanJS fills this void by providing a first-of-its-kind, JavaScript-native framework designed specifically for building and integrating AI Agents. Harness the power of specialization by configuring AI agents to excel in distinct,...
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  • 25
    Inja

    Inja

    A Template Engine for Modern C++

    Inja is a template engine for modern C++, loosely inspired by jinja for python. It has an easy and yet powerful template syntax with all variables, loops, conditions, includes, callbacks, and comments you need, nested and combined as you like. Inja uses the wonderful json library by nlohmann for data input. Most importantly, inja needs only two header files, which is (nearly) as trivial as integration in C++ can get. Of course, everything is tested on all relevant compilers. Inja is a...
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