Fto (Techdim)

Techdim

Geek Repo

Company:NEU

Location:Shanghai

Home Page:https://techdim.github.io/

Github PK Tool:Github PK Tool

Fto's repositories

about-AX300M-WiFi6-ROUTER

about-AX3000M-WiFi6-ROUTER

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AdministrativeAptitudeTest

近二十年公务员考试(公考)行政能力测试(行测)真题,包含国考、省考、选调生考试所有行测试卷及其答案

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AndroidAPS

Use AAPS in China

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CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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CUDA-Programming

Sample codes for my CUDA programming book

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Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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DesignPattern

C++11全套设计模式-23种指针的用法(a full DesignPattern implement with c++11)

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dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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ECDICT

Free English to Chinese Dictionary Database

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EffectiveModernCppChinese

《Effective Modern C++》翻译 - 已完成

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free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍,欢迎投稿

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hack-SysML

The road to hack SysML and become an system expert

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hexo-theme-matery

A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问:http://blinkfox.com

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How-to-be-a-good-programmer

I'm here to tell you some amazing stuff which teacher would never tell you.

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models

Models and examples built with TensorFlow

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pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

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PyTorch-From-Zero-To-One

PyTorch从入门到精通

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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PyTorchTricks

Some tricks of pytorch... :star:

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SNPE_Tutorial

A simple tutorial of SNPE.

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Techdim.github.io

个人博客

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trt-samples-for-hackathon-cn

Simple samples for TensorRT programming

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TVBox

TVBox自用源以及仓库源、直播源等

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xingce

行测知识点

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YOLO-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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