Showing 3 open source projects for "handshake"

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    websocket for Go

    websocket for Go

    Minimal and idiomatic WebSocket library for Go

    ...Fully passes the WebSocket autobahn-testsuite. Single dependency. JSON and protobuf helpers in the wsjson and wspb subpackages. Zero alloc reads and writes. Concurrent writes. Close handshake. net.Conn wrapper. Ping pong API. RFC 7692 permessage-deflate compression. Compile to Wasm. Transparent message buffer reuse with wsjson and wspb subpackages. Gorilla writes directly to a net.Conn and so duplicates features of net/http.Client. Gorilla requires registering a pong callback before sending a Ping. Compare godoc of nhooyr.io/websocket with gorilla/websocket side by side. ...
    Downloads: 2 This Week
    Last Update:
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  • 2
    Cloudflare-Socks5

    Cloudflare-Socks5

    CF-workers/pages proxy script: supports Vless-ws (tls) and Trojan-ws

    ...The project provides scripts that enable users to deploy proxy services locally without relying on external subscription providers, improving privacy and control over configuration data. It supports multiple transport modes including WebSocket with TLS, as well as optional encrypted handshake mechanisms like ECH-TLS, standard TLS, or even non-TLS configurations to adapt to different network restrictions. The system is designed with accessibility in mind, offering simplified setup processes that allow users to deploy nodes with minimal configuration, often requiring only a UUID or password. It also includes tools for generating optimized Cloudflare IP selections and supports multiple node formats for compatibility with clients like Clash and sing-box.
    Downloads: 0 This Week
    Last Update:
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  • 3
    NeuMan

    NeuMan

    Neural Human Radiance Field from a Single Video (ECCV 2022)

    ...It supports novel view and novel pose synthesis, enabling compositional results like transferring reconstructed humans into new scenes. The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides guidance for running evaluations and rendering. As a research release, it serves both as a baseline and as a starting point for work on human-centric NeRFs. The emphasis is on practical reconstruction quality from minimal capture setups. Compositional outputs to blend humans and backgrounds. Novel view and novel pose synthesis from learned radiance fields.
    Downloads: 0 This Week
    Last Update:
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