Study Notes For Web Hacking / Web安全学习笔记
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Updated
Aug 21, 2026 - Python
Study Notes For Web Hacking / Web安全学习笔记
从 MiniMind 源码读起,再延伸到现代大模型技术体系的中文学习笔记。主线逐行精读预训练 / SFT / DPO / PPO / GRPO 与训练机制;附录 17 篇进阶卷覆盖量化、投机解码、RLHF 全景、模型代际史等 MiniMind 没涉及、但进阶绕不开的主题。
Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.
RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 19 lecture drafts, 5 tested exercises, citations that resolve.
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Structured Certified Ethical Hacker (CEH v12) study notes — 20 modules from footprinting and scanning to web, wireless, cloud & cryptography, each with tools, commands, and hands-on labs.
深度学习与强化学习的系统学习路线:40 个实验,每个配数学推导笔记、原创插图和从零实现的代码
Git Study Cards for devs that might need a refresher about git commands 🗂️
Notes about LLaMA 2 model
Bilibili Video Notes 是一个从 B 站教育/讲课视频自动生成带截图的 DOCX 学习笔记的工具。它通过下载视频与 AI 字幕、全覆盖抽帧、OCR + 感知哈希去重、AI 视觉打分精选、提取图中关键内容,最终融合生成结构化的 DOCX 笔记。包括且不仅限于支持 Hermes Agent、Claude Code、Codex CLI 等多 Agent 直接调用,也支持任何 OpenAI 兼容格式的多模态视觉 API。可用于本地视频,适用于考研党等网课人群,帮助大家解放做笔记的双手,只需认真听课即可。
Python program to generate anki cards from obsidian markdown notes
西安交通大学2023级自动化专业前三年学习资料整理
Cooking AGI / AGI 大锅烩 · Bilingual (English / 中文) ML & LLM notes with worked examples, step-by-step figures and coding practice. Free to read.
AI Agent engineering and quantitative finance knowledge base: source-level architecture analysis, Agent-to-Agent protocol research, runnable code experiments, industry insights. Obsidian vault, ready to clone.
iPAS AI 應用規劃師(中級)考綱教科書 v0.3 開源版(含三冊完整教材、219 題模擬題、300 題官方試題解析索引與 PDF 編譯工具)
把 B 站长视频和系列网课,一键变成能直接当教材读的深度长文与备考笔记
Real interview questions, answers, and code from data scientist interviews at Cafebazaar, Digikala, Apple, Picnic, and Proxify
AI learning engine — turn YouTube videos, documents, and text into study notes and a searchable knowledge wiki. 4 output styles, multilingual (ko/en/ja), RAG, spaced review, team workspaces. Flask + Next.js.
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