Showing 121-140 of 1,001 projects
DeepEP is an efficient expert-parallel communication library for CUDA-based applications.
An open-source library for running the Whisper AI speech recognition model efficiently on a variety of platforms.
A TypeScript-based AI coding assistant that helps developers work more efficiently with AI tools and workflows.
LLRT is an experimental, lightweight JavaScript runtime designed for fast and efficient Serverless applications.
Ultra-efficient large language models (LLMs) for end devices, enabling fast on-device reasoning and inference.
Highly scalable and resource-efficient C++ web framework with zero-dependency for building web applications.
An open-source launcher to improve productivity and efficiency for developers.
A high-performance Python library for working with large tabular datasets, offering efficient data manipulation and visualization.
Efficient and reliable UDP, multicast, and IPC message transport library written in Java.
Rust explained using easy English for developers to learn the language efficiently.
Fast Segment Anything is a Python library for efficient data segmentation.
A high-performance C++ web server focused on efficiency and scalability.
Enhance your ChatGPT productivity with a hub for managing, customizing, and sharing prompts across languages.
Apache Tomcat is a popular Java-based web server and servlet container that provides a secure and efficient runtime environment for web applications.
Efficient in-memory cache in Go for storing and retrieving large amounts of data.
Yaegi is an elegant and efficient Go interpreter, useful for building Go-based tools and applications.
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
A Vim plugin that provides Sublime Text-style multiple cursors for efficient code editing.
A declarative UI framework for building efficient Android apps with Kotlin.
A library that keeps React Router and Redux in sync, providing a simple and efficient way to manage routing and state.
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