shaosimon Goto Github PK

followers: 1.0 following: 14.0 repos: 78.0 gists: 0.0

Name: shaoke

Type: User

Company: iQIYI, Inc.

Bio: keep hungry, keep foolish.

Location: Beijing, China

Blog: blank

shaoke's Projects

12306

12306智能刷票，订票

944.life

996.ICU 的反向 repo: 944 工作制 - 工作 944，生活为先

algo

数据结构和算法必知必会的50个代码实现

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-google-colab

Google Colaboratory Notebooks and Repositories

awesome-machine-learning-jupyter-notebooks-for-colab

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

bert

TensorFlow code and pre-trained models for BERT

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

chatgpt-failures

Failure archive for ChatGPT and similar models

coding-interview-guide

Python语言实现左程云《程序员代码面试指南》第二版

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

copynet

CopyNet Implementation with Tensorflow and nmt

cpp17

本书为《C++17 the complete guide》的个人中文翻译，仅供学习和交流使用，侵删

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”教材。

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.