Showing 1101-1120 of 6,199 projects
A high-performance C++ library for optimizing transformers like BERT and GPT for AI and machine learning applications.
An AI-powered story generation tool for developers interested in vibe coding and creative AI applications.
A free and open-source messaging and emailing app that combines common web applications into one.
Micronaut is a cloud-native Java application framework for building modular, scalable microservices.
A collection of tools and scripts for debloating and optimizing the Windows operating system.
A systems design repository with shell scripts and examples for developers to learn about system architecture and design.
Pixie is an instant Kubernetes-native application observability platform that provides deep insights into your running applications.
A flexible Ruby web framework for building maintainable applications.
An interactive command-line prompt library for Go that enables building powerful CLI applications.
Transformers built with JAX and Haiku for mesh-based AI applications.
A progressive microservices framework for building scalable and resilient Node.js applications.
General-purpose sandbox platform providing multi-language SDKs and Docker/K8s runtimes for AI agents.
A Java Material Design library for building desktop and mobile applications with a modern look and feel.
Channels is a developer-friendly asynchrony library for Django, enabling real-time and event-driven web applications.
LevelDB key/value database in Go for building high-performance data-intensive applications.
An OS X and iOS framework to interact with the Apple Push Notification service (APNs).
A flexible, modular PyTorch library for deep metric learning and embeddings, useful for vibe coders building AI-powered apps.
A natural language modeling framework based on PyTorch for building AI-powered applications.
A Python-based platform for aggregating and crawling proxy servers, useful for building proxy-reliant applications.
Pachyderm is a data-centric pipeline and data versioning platform for building and scaling data-intensive applications.
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