A curation of prompts, plugins & other Fish treasures 🐚💎
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Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
- python
- flask
- webapp
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
- gpt-3
- prompting
- prompt-engineering
- gpt3
Translated🟢 Collects the official GitHub repositories of Clash core clients for all platforms, including Clash Verge Rev, Clash for Windows, Clash for Android, and FlClash, along with detailed illustrated configuration tutorials (latest for 2026)
- clash
- clash-for-android
- clash-for-windows
- clash-meta
TranslatedA complete Flutter development practice series, with online preview and PDF download. This series will fully explain how to quickly develop a complete Flutter APP from 0, accompanied by the highly polished open-source Flutter project GSYGithubAppFlutter. It will also provide some Flutter development details and tips, and then dive into the source code and practical examples to give you a comprehensive analysis of Flutter.
- flutter
- flutter-demo
- flutter-book
- flutter-learn
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
Curated tutorials and resources for Large Language Models, AI Painting, and more.
The code for iHateregex.io 😈 - The Regex Cheat Sheet
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Code from various chapters in OSTEP (http://www.ostep.org)
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑💻 Video Tutorials.
- large-language-models
- ai-infra
- genai
- mlsys
A curated list of reinforcement learning with human feedback resources (continually updated)
- deep-learning
- deep-reinforcement-learning
- human-feedback
- reinforcement-learning
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
- aws
- bytewax
- comet-ml
- generative-ai
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
Write a simple interpreter of C. Inspired by c4 and largely based on it.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书，适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材，我决定将其翻译成中文，并通过 GitHub 进行开源共享。
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
- algorithmic-trading
- quant-finance
- quantitative-finance
- quantitative-trader
1000UserGuide：对独立开发者和创业者来说，找到前1000个早期用户太关键了。这里精心整理了300多个国内外渠道，适合独立开发者和创业者推广产品的渠道。
- indie
- indiedev
- list
- marketing