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mynameiziji's Projects

t2t-vit icon t2t-vit

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

tengine icon tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow-vdsr icon tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

terminal icon terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

tiny icon tiny

Tiny Face Detector, CVPR 2017

tiny-dnn icon tiny-dnn

header only, dependency-free deep learning framework in C++14

trax icon trax

Trax — Deep Learning with Clear Code and Speed

ttskit icon ttskit

text to speech toolkit. 好用的中文语音合成工具箱,包含语音编码器、语音合成器、声码器和可视化模块。

tui-rs icon tui-rs

Build terminal user interfaces and dashboards using Rust

tushare icon tushare

TuShare is a utility for crawling historical data of China stocks

udp2raw-tunnel icon udp2raw-tunnel

A Tunnel which Turns UDP Traffic into Encrypted UDP/FakeTCP/ICMP Traffic by using Raw Socket,helps you Bypass UDP FireWalls(or Unstable UDP Environment)

v2ray icon v2ray

最好用的 V2Ray 一键安装脚本 & 管理脚本

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

video-quality icon video-quality

Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...

vnpy icon vnpy

在vnpy上实现缠论笔线段买卖点的可视化,获取实时数据判断买卖点自动交易

vnpy-1 icon vnpy-1

基于Python的开源量化交易平台开发框架

waking-up icon waking-up

计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试:rocket:;可用于模拟面试、面试前复习、短期内快速备战面试...

wakuang icon wakuang

Wakuang is quantitative trading . Our project provides a solution of certificate of stock analysis.

wdsr_ntire2018 icon wdsr_ntire2018

Code of our winning entry to NTIRE 2018 super-resolution challenge. http://www.vision.ee.ethz.ch/ntire18/

white-box-cartoonization icon white-box-cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

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