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blade.zhang's Projects

multi_hyp_cc icon multi_hyp_cc

[CVPR2020] A Multi-Hypothesis Approach to Color Constancy

mvvmfx icon mvvmfx

MVVM for Wisej and Windows Forms - Caliburn.Micro and Bound controls libraries

myrtille icon myrtille

A native HTML4 / HTML5 Remote Desktop Protocol and SSH client

ncalc-edge icon ncalc-edge

A clone of NCalc. Latest source. Published to Nuget.org. version 1.4.3

netwinformcontrol icon netwinformcontrol

HZHControls,c#winfrom custom control, has better operation support for touch screen, the project is based on framework4.0, completely native control development, do not use any third-party controls, you can use it safely in your project (winfromcontrol/winformcontrol/.net).There are more abundant industrial controls that continue to increase in the ~~~

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

objectlistview icon objectlistview

ObjectListView is a .NET ListView wired on caffeine, guarana and steroids. More calmly, it is a C# wrapper around a .NET ListView, which makes the ListView much easier to use and teaches it lots of neat new tricks.

onova icon onova

Unopinionated auto-update framework for desktop applications

optics-simulation icon optics-simulation

This application is built for simulating and demonstrating simple light behaviours: reflection, refraction in mediums of different shapes and refractive indices, including circles and polygons, lens behaviours and light filters

orleans icon orleans

Orleans is a cross-platform framework for building distributed applications with .NET

paddledetection icon paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddlex icon paddlex

PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)

powertoys icon powertoys

Windows system utilities to maximize productivity

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prodotnetdesignpatternframework45 icon prodotnetdesignpatternframework45

Design patterns are solutions to software design problems you find again and again in real-world application development. Patterns are about reusable designs and interactions of objects. The 23 Gang of Four (GoF) patterns are generally considered the foundation for all other patterns. They are categorized in three groups: Creational, Structural, and Behavioral (for a complete list see below). To give you a head start, the C# source code for each pattern is provided in 2 forms: structural and real-world. Structural code uses type names as defined in the pattern definition and UML diagrams. Real-world code provides real-world programming situations where you may use these patterns. A third form, .NET optimized, demonstrates design patterns that fully exploit built-in .NET 4.5 features, such as, generics, attributes, delegates, reflection, and more. These and much more are available in our .NET Design Pattern Framework 4.5. You can see the Singleton page for a .NET 4.5 Optimized example.

quickenshtein icon quickenshtein

Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support

reactiveui icon reactiveui

An advanced, composable, functional reactive model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming. ReactiveUI allows you to abstract mutable state away from your user interfaces, express the idea around a feature in one readable place and improve the testability of your application.

remotedesktop icon remotedesktop

A from-scratch re-implementation of VNC / TeamViewer / Remote Desktop. Working screen transfer, NAT traversal / UDP hole punching, uses a mirror driver.

rlcard icon rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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