Showing 5482 open source projects for "mac framework"

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  • 1
    NNCF

    NNCF

    Neural Network Compression Framework for enhanced OpenVINO

    NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
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  • 2
    Kapacitor

    Kapacitor

    Open source framework for processing, monitoring, and alerting

    Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB.
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  • 3
    Zudoku

    Zudoku

    Framework for building high quality, interactive API documentation

    Zudoku (pronounced "zoo-doh-koo") is an open-source, highly customizable API documentation framework for building quality developer experiences around OpenAPI and, soon, GraphQL documents.
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  • 4
    Lunatik

    Lunatik

    Lunatik is a framework for scripting the Linux kernel with Lua

    Lunatik is a framework for scripting the Linux kernel with Lua. It is composed by the Lua interpreter modified to run in the kernel; a device driver (written in Lua =)) and a command line tool to load and run scripts and manage runtime environments from the user space; a C API to load and run scripts and manage runtime environments from the kernel; and Lua APIs for binding kernel facilities to Lua scripts.
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  • 5
    Trixi.jl

    Trixi.jl

    Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs

    Trixi.jl is a numerical simulation framework for hyperbolic conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.
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  • 6
    Soot

    Soot

    Soot - A Java optimization framework

    Soot is a Java optimization framework. It provides four intermediate representations for analyzing and transforming Java bytecode. Baf: a streamlined representation of bytecode which is simple to manipulate. Jimple: a typed 3-address intermediate representation suitable for optimization. Shimple: an SSA variation of Jimple. Grimp: an aggregated version of Jimple suitable for decompilation and code inspection.
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  • 7
    Pixeval

    Pixeval

    Wow. Yet another Pixiv client!

    Pixeval is a third-party proxy-free P station client developed by me as an amateur. The UI is implemented using Windows Presentation Foundation , based on .NET Core 3.0 , and supports Windows 7-10 (planning to cancel support other than Win10), and implements most of the The browsing function and many enhancements have been made. It has been open sourced on Github based on the AGPL protocol . The project was conceived in 2018. At that time, the api of the P station was written in Java. At...
    Downloads: 41 This Week
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  • 8
    Redwood

    Redwood

    The App Framework for Startups

    Focus on building your startup, not fighting your framework. Redwood is the full-stack web framework designed to help you grow from side project to startup. Our mission is to help more startups explore more territory, more quickly. We begin by crafting a more integrated framework. We’ve chosen the world’s most popular rendering engine to power Redwood’s web frontend. With React, you’ll have your pick of learning materials, design systems, and trained employees. As your project grows, so will...
    Downloads: 0 This Week
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  • 9
    Catch2

    Catch2

    A modern, C++-native, test framework for unit-tests, TDD and BDD

    A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch). Catch2 is mainly a unit testing framework for C++, but it also provides basic micro-benchmarking features and simple BDD macros. Catch2's main advantage is that using it is both simple and natural. Test names do not have to be valid identifiers, assertions look like normal C++ boolean expressions, and sections provide a nice and...
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  • 10
    Jittor

    Jittor

    Jittor is a high-performance deep learning framework

    Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement...
    Downloads: 0 This Week
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  • 11
    ProtoMotions

    ProtoMotions

    ProtoMotions is a GPU-accelerated simulation and learning framework

    ProtoMotions 3 is a GPU-accelerated framework for training physically simulated digital humans and humanoid robots. It provides modular environments and learning components for animation, robotics, and reinforcement learning research. Large motion datasets such as AMASS and BONES can be divided across multiple GPUs for scalable policy training. A built-in PyRoki workflow retargets human motion data to different robot bodies with a single command. Policies can be tested across Isaac Gym,...
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  • 12
    SIA

    SIA

    AI framework to autonomously improve the performance of any AI system

    SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code...
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  • 13
    Spring AI

    Spring AI

    An Application Framework for AI Engineering

    Spring AI is a framework within the Spring ecosystem that simplifies the integration of artificial intelligence capabilities into Java applications by providing abstractions over various AI services and models. It is designed to align with familiar Spring development patterns, allowing developers to incorporate AI features such as chat, embeddings, and prompt handling using consistent APIs. The framework supports multiple providers, including OpenAI, Azure OpenAI, and other compatible...
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  • 14
    LangChainGo

    LangChainGo

    LangChain for Go, the easiest way to write LLM-based programs in Go

    LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources,...
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  • 15
    CubeCL

    CubeCL

    Multi-platform high-performance compute language extension for Rust

    CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory...
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  • 16
    Quint Code

    Quint Code

    Structured reasoning framework for Claude Code, Gemini, and Cursor

    Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code...
    Downloads: 0 This Week
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  • 17
    Aimeos core

    Aimeos core

    Aimeos PHP ecommerce framework for ultra fast online shops

    Aimeos-Core is the core library and framework for the Aimeos ecommerce ecosystem, providing the essential building blocks for flexible, scalable online shops, marketplaces, and enterprise commerce applications. Unlike a monolithic shop application, Aimeos-Core is designed as a modular framework that you can embed into your own web app, enabling you to define custom front-ends and workflows while relying on its robust commerce services for catalog, cart, checkout, orders, and customer...
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  • 18
    Telos

    Telos

    Telos is an open-sourced framework for creating Deep Context

    Telos is an open-sourced framework designed to help individuals, organisations, or even planetary-scale entities articulate what they are about and how they intend to pursue their purpose. It encourages capturing a “context file” that outlines mission, goals, problems, strategies, KPIs, and other core components of meaningful work. The project emphasises creating deep context about matters that humans care about, making underlying intentions explicit rather than implicit. It is structured so...
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  • 19
    TarpC

    TarpC

    An RPC framework for Rust with a focus on ease of use

    tarpc is an asynchronous RPC framework for Rust that embraces Rust’s type system and futures to generate ergonomic client and server stubs. Services are declared in pure Rust, and procedural macros expand those definitions into request/response types, trait implementations, and strongly typed stubs. The framework is transport-agnostic: it commonly uses Tokio with serde-based codecs, but you can plug in your own framing and serialization. It bakes in RPC concerns such as deadlines,...
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  • 20
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed...
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  • 21
    Scalatra

    Scalatra

    Tiny Scala high-performance, async web framework

    Scalatra is a lightweight, high-performance micro web framework written in Scala, inspired by the Ruby framework Sinatra. Its goal is to provide a minimal but expressive foundation for building web applications or REST APIs in Scala without the verbosity or steep learning curve of larger frameworks. It supports asynchronous request handling, routing, filters, content negotiation, and easy integration with templating, JSON libraries, and other web middleware. Being unopinionated, it lets...
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  • 22
    BenchmarkTools.jl

    BenchmarkTools.jl

    A benchmarking framework for the Julia language

    BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package...
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  • 23
    gRPC-Go

    gRPC-Go

    The Go language implementation of gRPC. HTTP/2 based RPC

    gRPC is a modern open source high performance Remote Procedure Call (RPC) framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services. Define your service using Protocol Buffers, a powerful binary serialization toolset and...
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  • 24
    neo.mjs

    neo.mjs

    The application worker driven frontend framework

    neo.mjs is the next-generation UI framework for creating desktop & mobile Web Apps. It has a very strong focus on performance and creating scalable & modular architectures. A clean & consistent API, as well as the ability to run without any build processes, will increase the productivity of your team while creating better solutions at the same time. While current libraries/frameworks like Angular, React or Vue provide reasonable performance for small or mostly static Apps, they lack when it...
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  • 25
    superfluid protocol-monorepo

    superfluid protocol-monorepo

    Superfluid protocol specification, implementations and development kit

    Superfluid is an asset streaming protocol that brings subscriptions, salaries and rewards to DAOs and crypto-native businesses. Settle employees and contributors compensation once and for all, without frictions or fees. Your tokens flow in a continuous stream to recipients, until you edit their compensation or choose to stop it. Create, modify or close streams in a single interface, even if the stream was started on other applications. The Superfluid Protocol is a framework that realizes the...
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