Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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- deep-learning
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Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
Unofficial Reference Book for the Bevy Game Engine
A middle-to-high level open source algorithm book designed with coding interview at heart!
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A detailed document explaining and documenting HTTP/2, the successor to the widely popular HTTP/1.1 protocol
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🔥 《Go 程序员宝典》:go 基础语法,go 并发模式,go runtime 实现原理 ,企业级 go 语言项目经验。
The book documenting the curl project, the curl tool, libcurl and more. Simply put: everything curl.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
A document describing the HTTP/3 and QUIC protocols
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.
Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science
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Clever Algorithms: Nature-Inspired Programming Recipes
PyMC educational resources
Text and code for the second edition of Think Bayes, by Allen Downey.
Comprehensive collection of programming styles using a simple computational task, term frequency
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
TranslatedAimed at university students and people just starting their careers, this explains the social know-how, communication skills, and social rules that university classes often do not teach systematically. When you face cooperation, asking for help, refusing, money, etiquette, and conflict, it helps you understand how to handle things, what to say, and the price a choice may cost, so you can avoid detours and enter society more calmly.
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.
The Art of Problem-Solving in Software Engineering: How to Make MySQL Better
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