AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog
- postgresql
- greenplum
- enterprisedb
- database
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This repository has examples of broken patterns in ASP.NET Core applications
The Google Cloud Developer's Cheat Sheet
Readings in Databases
Classical equations and diagrams in machine learning
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
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
- accelerator
- ai-infra
- ai-infrastructure
- book
[Examples] Simple basic isolated apps, for budding flutter devs.
:video_game: :game_die: A wonderful list of Game Development resources.
- game-development
- game-engine
- game-programming
- game-jam
A curated list of resources for learning about application security
- security-experts
- reading-list
- curated
- application-security
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
- equinox
- cqrs
- architecture
- asp-net-core
A curated list of awesome neural radiance fields papers
- nerf
Principles of writing consistent, idiomatic CSS.
Recurrent Neural Network - A curated list of resources dedicated to RNN
The repository host gives no description.
Go microservice template for Kubernetes
A comprehensive curated list of available Bug Bounty & Disclosure Programs and Write-ups.
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
- benchmark-ips
- performance-optimization
- ruby
- hacktoberfest
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
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.
A curated list of awesome iOS animation, including Objective-C and Swift libraries
- ios-animation
- swift-animation
- animations
JavaScript interview Questions
- interview-questions
- javascript
- javascript-interview-question
- javascript-functions