📜 33 JavaScript concepts every developer should know.
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Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)
- oi
- oi-handbook
- data-structures
- algorithms
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
TranslatedAn easy-to-understand, witty and humorous Java learning guide, covering core knowledge points such as Java basics, Java concurrent programming, the Java Virtual Machine, Java enterprise development, and Java interviews. To learn Java, look no further than 二哥's (Erge, "Second Brother") Java advancement path 😄
- java
- jvm
- springboot
- mysql
Translated7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) A series on writing/implementing things from scratch in 7 days with Go
- learning
- starter-project
- golang
- scratch
Translated[Lumina Embodied AI Community] Embodied AI technology guide Embodied-AI-Guide
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
📚 Community guides for open source creators
- open-source
- oss
- best-practices
- tutorial
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
- algorithms
- translation
- algorithm-competitions
- algorithms-and-data-structures
Good ideas for iOS development, by Futurice developers.
- best-practices
- swift
- objective-c
- ios
Come and join us, we need you!
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TranslatedTencent mobile Web front-end knowledge base
- mobile
- touch
- omi
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Go by Example
The repository host gives no description.
- burst
- multicore-processors
- ecs
- entity
Docker - Beginners | Intermediate | Advanced
- docker
- beginners
- intermediate
- advance
Installing Development environment on macOS
- mac-osx
- gitbook
- setup
- install
Rails Girls Guides
Ultimate Python study guide 🐍 🐍 🐍
- python
- python3
- study
- programming-language
Kubernetes clusters for the hobbyist.
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.