Wizyoung's repositories

YOLOv3_TensorFlow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

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googletranslate.popclipext

(Unofficial) A free and easy-to-use Google Translate PopClip Extension (macOS). 一个免费的谷歌翻译 PopClip 插件 (macOS)。

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Optical-Flow-GPU-Docker

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

missionary-and-cannibals-problem-in-Python

solve the M_C problem in Python(用Python解决传教士野人过河问题)

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I3D_TensorFlow

TensorFlow code for finetuning on your own dataset.

Mac-plugins

我开发的一些macOS系统插件

workflows.kyoyue

优越加速Alfred Workflow

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Minimal-RNN-TensorFlow

Implementation of Minimal RNN

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cypy

My personal Python utils lib

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models

Models and examples built with TensorFlow

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anynote

The oline note base on Cloudflare KV Cloudflare worker support html markdown

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Awesome-TTRSS

🐋 Awesome TTRSS, a powerful Dockerised all-in-one RSS solution.

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Paddle

PArallel Distributed Deep LEarning (『飞桨』核心框架,高性能单机、分布式训练和跨平台部署)

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remove_blank_spaces.popclipext

一个自动去除文本中不必要换行和空格的popclip插件

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RSSHub

🍰 Everything is RSSible

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sshwifty

Web SSH & Telnet (WebSSH & WebTelnet client) 🔮

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SST-Tensorflow

Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.

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STIL-DeepFake-Video-Detection

Code for paper STIL: Spatiotemporal Inconsistency Learning for DeepFake Video Detection

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tensorflow

An Open Source Machine Learning Framework for Everyone

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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utterances

:crystal_ball: A lightweight comments widget built on GitHub issues

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wenshushu

基于 https://www.wenshushu.cn (文叔叔) 上传与下载文件的 Python 脚本

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