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di3online

Discovered public repositories for di3online in the GitHub catalog.

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di3online/ssl_wrapper

SSL Wrapper encapsulates any unsecured network communication inside secure SSL tunnel

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di3online/beego

beego is an open-source, high-performance web framework for the Go programming language.

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di3online/falcon-eye

linux monitor tool. an agent running on your host collect and display performance data. just like https://github.com/afaqurk/linux-dash

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di3online/vitess

vitess provides servers and tools which facilitate scaling of MySQL databases for large scale web services.

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di3online/SmtpClient-for-Qt

An SMTP Client writen in C++ for Qt. Allows applications to send emails (MIME with text, html, attachments, inline files, etc.) via SMTP. Supports SSL and SMTP authentication.

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di3online/GoDCCP

GoDCCP is an implementation of the Datagram Congestion Control Protocol in Go

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di3online/GST-DCCP

Dynamic bitrate adaptation for video streaming based on TFRC over DCCP Protocol.

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di3online/libnice

Libnice is an implementation of the IETF's Interactive Connectivity Establishment (ICE) standard (RFC 5245) and the Session Traversal Utilities for NAT (STUN) standard (RFC 5389). It provides a GLib-based library, libnice and a Glib-free library, libstun as well as GStreamer elements. ICE is useful for applications that want to establish peer-to-peer UDP data streams. It automates the process of traversing NATs and provides security against some attacks. It also allows applications to create reliable streams using a TCP over UDP layer. Existing standards that use ICE include Session Initiation Protocol (SIP) and XMPP Jingle.

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di3online/deBloat

Scripts for doing better and fairer network, traffic control, optimization and shaping

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di3online/opencv-1

Various OpenCV projects I found on my disk: Face Recognition, Machine Learning, Colormaps, Samples...

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di3online/Gossip-Learning-Framework

This open source benchmarking framework allows you to build your own P2P learning algorithm and evaluate it in a simulated but realistic -- where you can model message delay, drop or churn -- networked environment. Moreover it contains the prototype implementations of some well-known machine learning algorithms like SVM and Logistic Regression.

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