Promise packages, patterns, chat, and tutorials
- async-functions
- promise-modules
- promises
- javascript
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Promise packages, patterns, chat, and tutorials
This repository is a compilation of free resources for learning Data Science.
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
TranslatedA team lead is a ❄️, because in every company they are unique and one of a kind.
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Most popular metrics used to evaluate object detection algorithms.
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
A curated catalogue of awesome agentic AI patterns
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
TranslatedHermes Agent from Beginner to Expert · Orange Book Series · A Practical Guide to Nous Research's Open-Source AI Agent Framework
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
TranslatedList of telegram groups, channels & bots (interesting ones) // List of chats for programmers
Cómo dar en un día tus primeros pasos en cada lenguaje de programación. Introducción, configuración e instalación, usos habituales, fundamentos, sintaxis y próximos pasos.
Zep | Examples, Integrations, & More
Translated:books: The Go Programming Language ("Go语言圣经", Go Bible) Chinese edition 🇨🇳
Machine Learning and Agentic AI Resources, Practice and Research
Community-curated topic and collection pages on GitHub
Most of the React Native styling material in one page
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Paper list of multi-agent reinforcement learning (MARL)