💻 JavaScript implementations of computer science algorithms
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💻 JavaScript implementations of computer science algorithms
TranslatedGrowth Engineering: The Definitive Guide. A guide for full-stack growth engineers
A curated list of projects related to the reMarkable tablet
Interactive Tables and Data Grids for JavaScript
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
TranslatedFoundations of Large Models: understand the basic knowledge of large models in one article
🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook
TranslatedTensorFlow 2 Chinese tutorials, continuously updated (current version: tensorflow2.0), tag: tensorflow 2.0 tutorials
:bathtub: Clean Code concepts and tools adapted for .NET
TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
A handy guide to financial support for open source
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Everything about Web Application Firewalls (WAFs) from Security Standpoint! 🔥
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
Listing of community-curated resources to find topical remote freelance & contract work for software developers, web designers, and more!
The vip.com's java coding standard, libraries and tools
All course materials for the Zero to Mastery Machine Learning and Data Science course.
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
Collection of notebooks about quantitative finance, with interactive python code.
TranslatedDeploy a kubernetes cluster step by step with me
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/