QuantumU's starred repositories

yn

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

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CLN-ClosedLoopNemaDriver

Compact closed-loop stepper motor driver designed for NEMA motors

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The-Art-of-Linear-Algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

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StableDiffusion-CheatSheet

A list of StableDiffusion styles and some notes for offline use. Pure HTML, CSS and a bit of JS.

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Python

All Algorithms implemented in Python

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Python

My Python Examples

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cpp-core-guidelines-cheatsheet

Cheatsheet for the C++ core guidelines, including a set of tried-and-true guidelines, rules, and best practices about coding in C++.

License:MITStargazers:552Issues:0Issues:0

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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themlsbook

This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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AiLearning-Theory-Applying

快速上手Ai理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。

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Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

License:MITStargazers:14283Issues:0Issues:0

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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coding-interview-university

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

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PRMLT

Matlab code of machine learning algorithms in book PRML

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WZU-machine-learning-course

温州大学《机器学习》课程资料(代码、课件等)

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CS231n-2017-Summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

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deep_learning_object_detection

A paper list of object detection using deep learning.

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ImageProcessing100Wen

「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

License:MITStargazers:1Issues:0Issues:0

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:2026Issues:0Issues:0

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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DAT4

General Assembly's Data Science course in Washington, DC

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free-programming-books

:books: Freely available programming books

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awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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arrow

🏹 Better dates & times for Python

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Learn-Data-Science-For-Free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science.

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textbook

The textbook Computational and Inferential Thinking: The Foundations of Data Science

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