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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
If you want to become good at AI engineering & system design, join this newsletter 👇
- computer-science
- interview-questions
- software-engineering
- system-design
😱 Falsehoods Programmers Believe in
- falsehoods
- phone-number
- geography
- postal-addresses
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
Angular Style Guide: A starting point for Angular development teams to provide consistency through good practices.
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
- ethereum
- blockchain
- oreilly
- book
📖 Design Patterns implemented in Swift 5.0
- swift
- design-patterns
- good-practices
- computer-science
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A comprehensive list of books on Software Architecture.
- awesome
- awesome-list
- books
- software-engineering
I am trying to describe complex matters in simple doodles!
TranslatedGitHub 漫游指南 (Manyou Zhinan, "Roaming Guide")- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
Good ideas for iOS development, by Futurice developers.
- best-practices
- swift
- objective-c
- ios
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
- equinox
- cqrs
- architecture
- asp-net-core
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.
- ai-video
- awesome
- bytedance
- prompt-engineering
💎 The Principles of OOD (SOLID) based on Uncle Bob articles.
- ood-principles
- object-oriented
- liskov-substitution-principle
- interface-segregation-principle
Flutter representation of a Restaurant app UI.
C++ implementation of a fast hash map and hash set using robin hood hashing
- c-plus-plus
- cpp
- hash-map
- data-structures
full guide to help you integrate AI in your workflow, for both beginners and experienced users
Self hosted read and to-read list book tracker
- reading
- reading-list
- to-read
- goodreads
A collection of awesome Jekyll goodies (tools, templates, plugins, guides, etc.)
TranslatedTeaches you how to get back every cent of your wages, overtime pay, and unused annual leave; how to reconnect your social insurance if it lapses, and what to do about work injury and maternity. When you are being targeted, reassigned, or laid off, you will know how to leave and how to leave no loose ends. 576 pieces of advice, each stating what it costs, what you get in return, and how solid the evidence is; sources cite only the original text of official documents and research literature.
- career
- china
- chinese
- decision-making