Search Results for "mac framework" - Page 27
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Showing 10268 open source projects for "mac framework"
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Appfl
Advanced Privacy-Preserving Federated Learning framework
APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups. -
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Supabase Wrappers
Postgres Foreign Data Wrapper development framework in Rust
Supabase Wrappers is a collection of PostgreSQL extensions (written in Rust) that allow Postgres to interact with external systems like APIs, files, and other databases. It uses Foreign Data Wrappers (FDWs) to treat external resources as if they were native SQL tables, enabling seamless integration with external services directly from SQL queries. -
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userver
Production-ready C++ Asynchronous Framework with rich functionality
userver is a modern C++ framework for building asynchronous, high-performance microservices. Developed by Yandex, it provides a robust architecture for writing non-blocking network applications, with built-in support for gRPC, HTTP, database clients, metrics, and more. userver is designed for production-scale backend systems that require low latency and high reliability. -
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Symfony FrameworkBundle
Provides a tight integration between Symfony components
Symfony Framework Bundle is the core bundle of the Symfony PHP framework, providing the essential components and configuration needed to build robust web applications. It integrates various Symfony components, such as routing, templating, and dependency injection, into a cohesive structure. This bundle serves as the foundation for Symfony applications and enables developers to efficiently manage routes, templates, services, and more. -
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robosuite
A Modular Simulation Framework and Benchmark for Robot Learning
Robosuite is a modular and extensible simulation framework for robotic manipulation tasks, built on top of MuJoCo. Developed by the ARISE Initiative, Robosuite offers a set of standardized benchmarks and customizable environments designed to advance research in robotic manipulation, control, and imitation learning. It emphasizes realistic simulations and ease of use for both single-task and multi-task learning. -
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Parlant
The behavior guidance framework for customer-facing LLM agents
Parlant is a lightweight speech-to-text and text-to-speech framework designed for real-time AI-driven voice applications. -
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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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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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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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Burn
Burn is a new comprehensive dynamic Deep Learning Framework
Burn is a new comprehensive dynamic Deep Learning Framework from Tracel AI built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Burn emphasizes performance, flexibility, and portability for both training and inference. Developed in Rust, it is designed to empower machine learning engineers and researchers across industry and academia. -
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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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apm-agent-dotnet
Elastic APM .NET Agent
Elastic APM .NET Agent. The agent can automatically instrument .NET Framework, .NET Core, and .NET applications using the .NET CLR Profiling APIs. The Profiling APIs provide a way to instrument an application or dependency code without code changes. -
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Manopt.jl
Optimization on Manifolds in Julia
Optimization Algorithm on Riemannian Manifolds. A framework to implement arbitrary optimization algorithms on Riemannian Manifolds. Library of optimization algorithms on Riemannian manifolds. Easy-to-use interface for (debug) output and recording values during an algorithm run. Several tools to investigate the algorithms, gradients, and optimality criteria. -
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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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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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GraphQL
The GraphQL LSP reference ecosystem for building browser & IDE tools
GraphiQL is the reference implementation of this monorepo, GraphQL IDE, an official project under the GraphQL Foundation. The code uses the permissive MIT license. Whether you want a simple GraphiQL IDE instance for your server, or a more advanced web or desktop GraphQL IDE experience for your framework or plugin, or you want to build an IDE extension or plugin, you've come to the right place! GraphiQL provides monaco editor with a powerful, schema-driven graphql language mode. It also... -
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LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LLaMA-Factory is a fine-tuning and training framework for Meta's LLaMA language models. It enables researchers and developers to train and customize LLaMA models efficiently using advanced optimization techniques. -
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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... -
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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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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... -
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Intrinsic Core
Local runtime, SDK, and hardware agnostic, real-time control framework
Intrinsic Core is an open, local robotics runtime and SDK for building industrial automation and AI-enabled robotic applications. It provides a preconfigured environment where core robotics services and capabilities are designed to operate together. Built-in functionality includes grasp planning, AI perception, digital twins, simulation, and hardware execution. A hardware-agnostic real-time control framework lets applications switch robot arms and grippers through a unified abstraction... -
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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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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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Vision Agents
Open Vision Agents by Stream. Build voice and vision agents quickly
Vision Agents is an open-source Python framework for building real-time voice and video AI agents. It is designed for applications that need to watch, listen, understand, and respond with very low latency. The framework can combine vision models, speech models, LLMs, and real-time transport providers into one agent workflow. It supports use cases such as live coaching, telehealth, customer support, security monitoring, interactive video assistants, and voice-controlled tools. Vision Agents... -
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Harmonist
Portable AI agent orchestration with mechanical protocol enforcement
Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail...
