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1–24 of 25 · Most stars

:books: The definitive guide to TypeScript and possibly the best TypeScript book :book:. Free and Open Source 🌹

  • typescript
  • typescript-book
  • typescript-community
  • free

Translated🌈【C#/.NET/.NET Core guide for learning, work, and interviews】Records, collects, and summarizes C#/.NET/.NET Core basics, learning roadmaps, hands-on development, programming skill exercises, learning videos, articles, books, project frameworks, community organizations, essential development tools, cutting-edge tech weeklies, common interview questions, interview notes, resume templates, job recruitment, and some of my own modest insights from learning and work. I hope to learn together with everyone and make progress together. If this knowledge base helps you, don't forget to show your support (follow, like, share)💖.

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 collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System

  • adversarial-attacks
  • ai-safety
  • autonomous-driving
  • backdoor-attacks

Domain Driven Design (DDD) N-LayeredArchitecture with .Net Core 2

  • domain-driven-design
  • ddd
  • ddd-architecture
  • ddd-patterns

A curated list of excellent books to learn PostgreSQL — from beginner‑friendly introductions to advanced internals, administration, and performance tuning.

Coq formalization of algorithms due to Tarjan and Kosaraju for finding strongly connected graph components using Mathematical Components and SSReflect [maintainers=@CohenCyril,@palmskog]

  • coq
  • mathcomp
  • ssreflect
  • tarjan-algorithm