Showing 41-60 of 136 projects
Sing-box is a multi-protocol network proxy tool with support for various protocols and platforms.
Provides a comprehensive set of rule snippets and rulesets for popular network proxies like Surge, Clash, and sing-box.
A large language model-powered virtual salesperson that can generate product descriptions to drive user purchases.
A script that simplifies the setup and management of a VPN server with advanced features like Argo tunnels, Psiphon VPN, and encrypted protocols.
A Python tool to enumerate DNS records and subdomains for security testing and reconnaissance.
A comprehensive toolset for building and managing Progressive Web Apps (PWAs) across platforms and devices.
A PyTorch library for Bayesian optimization, a powerful tool for machine learning model tuning and optimization.
Provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio) and example notebooks.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
A production-ready reinforcement learning AI agent library for building AI-powered applications.
A PyTorch library for meta-learning research, enabling few-shot, fine-tuning, and other advanced ML techniques.
This GitHub repository contains the latest company-wise interview questions from LeetCode, primarily focused on Java.
A CNI meta-plugin for multi-homed pods in Kubernetes, enabling networking flexibility.
A Ruby on Rails library for adding search engine optimization (SEO) metadata to web pages.
HonoX is a meta-framework built on top of the Hono serverless framework, providing a powerful and extensible foundation for building modern web applications.
An open-source plain text editor designed for writing novels and other long-form fiction.
A Python library for meta-learning that enables fast adaptation of deep neural networks.
Implementation of papers in 100 lines of code
A Chrome extension that uses Meta's Segment Anything Model to extract and copy objects from images.
A PyTorch domain library for building recommendation systems using GPU-accelerated deep learning.
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