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Master programming by recreating your favorite technologies from scratch.
A Collection of application ideas which can be used to improve your coding skills.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Curated list of project-based tutorials
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A list of open-source, affordable, less-known, or visionary robotics projects.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
All Algorithms implemented in Python
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🎓 Path to a free self-taught education in Computer Science!
10 Weeks, 20 Lessons, Data Science for All!
Course Files for Complete Python 3 Bootcamp Course on Udemy
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Hunt down social media accounts by username across social networks
An updated version of the classic "Basic Computer Games" book, with well-written examples in a variety of common programming languages
An updated version of the classic "Basic Computer Games" book, with well-written examples in a variety of common MEMORY SAFE, SCRIPTING programming languages. See https://coding-horror.github.io/ba…
Basic Machine Learning and Deep Learning
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace…
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
Rich is a Python library for rich text and beautiful formatting in the terminal.
Automated cryptocurrency trading bot
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.