sanwan Goto Github PK

clash

A rule-based tunnel in Go.

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

code-server

VS Code in the browser

coding

practice coding a little bit

coding-interview-university

A complete computer science study plan to become a software engineer.

colcon-bundle

A colcon extension to create portable application bundles

cplusplus-concurrency-in-practice

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

crashmonkey

CrashMonkey: tools for testing file-system reliability (OSDI 18)

cs-notes

:books: Computer Science Learning Notes

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cs231a

Computer Vision: From 3D Reconstruction to Recognition

cs291

Interactive 3D Graphics class code

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

dataset-distillation

Dataset Distillation

ddd-fe-demo

Domain-Driven Design for frontEnd demo

debezium

Change data capture for a variety of databases. https://debezium.io Please log issues in our JIRA at https://issues.jboss.org/projects/DBZ/issues

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep_learning_course

deeplearning

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

deeplearning-1

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，50余万字。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

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeptest

deepxplore

DeepXplore code release

developer-zero-to-mastery

:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划，提高个人与团队的研发效能

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可