pingf Goto Github PK

ctop

Top-like interface for container metrics

curriculum

📚Open Source Curriculum for CNCF Certification Courses

curriculum-1

Overview of the different modules and learning goals of the program.

cursed_snake

A simple console game (Python 3)

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

cypress

Fast, easy and reliable testing for anything that runs in a browser.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

daenerys

Scraping and Web Crawling Framework For Zhihu Live

dagboard

一步步实现DAG可视化及简单交互, 可用于js模拟流程图等

daguan-classify-2018

dash-auth

Basic Auth and Plotly Authentication for Dash Apps

dash-html-components

HTML components for Dash

dash-labs

dash-mantine-components

Dash components based on Mantine React Components

dash-manufacture-spc-dashboard

A manufacture dashboard demo app showing real-time process control.

dash-sample-apps

Apps hosted in the Dash Gallery

dash-tabulator

Tabulator component for Dash Plotly

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

dataflow

An experimental self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more!

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

ddddemo

一个sofa demo 实现了领域驱动设计

decorators-descriptors

Resources for "Decorators and Descriptors Decoded" PyCon US 2017 Tutorial

deep-forest

An implementation of Deep Forest 2021.2.1.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-from-scratch

『ゼロから作る Deep Learning』のリポジトリ

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips