Gate connected convolutional neural network for object tracking, ICIP-2017
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Updated
Nov 8, 2019
Gate connected convolutional neural network for object tracking, ICIP-2017
mini Deep Learning Library
a "high-performance" websocket implementation based on panjf2000/gnet and gobwas/ws, providing low-level API
A small, fast, high-performance web framework based on "gnet".⚡️ 一个基于「gnet」的小巧,快速,高性能的Web框架。
🐦 Fast HTTP server that supports handlers written in Starlark
The (f)db project focuses on building high-performance transport layers atop key-value databases like MDBX. Supporting protocols like QUIC, UDS, TCP, UDP, and Dummy for testing purposes. It aims for ultra-fast, low-latency data transfers, making it ideal (almost) for real-time applications like high-frequency trading.
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