ericren2005 Goto Github PK
Name: Eric Ren
Type: User
Eric Ren's Projects
awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
awesome-tutorials
I am going to write a series of tutorials about web/android/ios development
awesome_llms_interview_notes
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
chatgpt-next-web
One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。
free-programming-books
:books: Freely available programming books
free-programming-books-zh_cn
:books: 免费的计算机编程类中文书籍，欢迎投稿
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
fucking-algorithm-book
《labuladong的算法小抄》顺序阅读版
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hello-world
First repository
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
labuladong_algorithm
labuladong的算法小抄
librecad
LibreCAD is a cross-platform 2D CAD program written in C++11 using the Qt framework. It can read DXF and DWG files and can write DXF, PDF and SVG files. The user interface is highly customizable, and has dozens of translations.
librepcb
A powerful, innovative and intuitive EDA tool for everyone!
literature-books
书籍txt
machine-learning-study-path-march-2019
node-lessons
:closed_book:《Node.js 包教不包会》 by alsotang
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
telegramlist
Telegram中文群索引列表（言论自由版）
voice-gender
Gender recognition by voice and speech analysis
vsc
Visual Studio Code Guide[Simple Chinese][简体中文]
whisper
Robust Speech Recognition via Large-Scale Weak Supervision
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