记录一下自己的收藏夹
学习资源
计算机科学
- 《深入理解计算机系统》Attack Lab实验解析 | Yi’s Blog
- xiaolincoder/CS-Base: 图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！
- Philosophy of software design
数据结构与算法
- 本站简介 | labuladong 的算法笔记
- youngyangyang04/leetcode-master: 《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！
- 专栏介绍 - GiantPandaCV
机器学习与深度学习
- 20天吃透Pytorch
- How to Train Really Large Models on Many GPUs? | Lil’Log
- 归档 | Breezedeus.com
- 1 Welcome — 张振虎的博客 张振虎 文档
- diffusion_model | 标签 | 莫叶何竹🍀
- 知识库精选 | 分类 | Way to AGI
机器学习系统
- ML system 入坑指南 | 摸黑干活
- 从AI系统角度回顾GPU架构变迁–从Fermi到Ampere(V1.2) - 知乎
- 大模型Infra这些年，从黑铁时代到黄金时代再到白银时代 - 知乎
- horseee/DeepCache: [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
- Physics of Language Models - Part 1: Hierarchical Language Structures
- Contribute to vllm-project/vllm
- [Feature]: Add KV Cache Metrics to Usage Object · Issue #12283 · vllm-project/vllm
- 手写 Self-Attention 的四重境界，从 self-attention 到 multi-head self-attention | chaofa用代码打点酱油
- MLSys-Learner-Resources/Awesome-MLSys-Blogger: The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)
- How To Scale Your Model
- stas00/ml-engineering: Machine Learning Engineering Open Book
- HuaizhengZhang/AI-System-School: 🚀 Awesome System for Machine Learning
- Machine Learning Systems
- Stanford MLSys Seminar – Stanford MLSys Seminar Series
大语言模型与RAG
- 论文精读 - 知乎
- 精通 RAG：如何构建企业 RAG 系统 - 掘金
- 一文读懂：大模型RAG（检索增强生成） - 知乎
- 当推荐系统遇见大语言模型：通往未来的三条路径 - 大模型知识库
- langchain-ai/rag-from-scratch
- NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems
- LLM Agents | Prompt Engineering Guide
- Thinking-Claude/model_instructions/v5.1-20241125.md at main · richards199999/Thinking-Claude
- Patterns for Building LLM-based Systems & Products
在线课程与学习资源
- MIT-Missing-Semester - CS自学指南
- Courses - DeepLearning.AI
- 11-777 MMML | Schedule
- CS 194/294-267 Understanding Large Language Models: Foundations and Safety | Spring 2024
- MIT 6.S978: Deep Generative Models, Fall 2024
- Introduction | CS324
- Syllabus | Large Language Model Systems
- ML 2022 Spring
- Home | CSE 234
- mryab/efficient-dl-systems: Efficient Deep Learning Systems course materials (HSE, YSDA)
- CSE 599 — ML for ML Systems
- AI-Sys Sp22
- Lectures
- MIT 6.5940 Fall 2024 TinyML and Efficient Deep Learning Computing
- Take a Free Online Course or Teach Your Own! - TinyMLedu
- CSCE 585: Machine Learning Systems
- MIT 6.S965 Fall 2022 TinyML and Efficient Deep Learning Computing
- Your Projects - Overleaf, Online LaTeX Editor
- Mastering Markdown · GitHub Guides
- 我的课程 - Udacity
面试与求职
- Interview Query | Dashboard
- GitHub - CyC2018/CS-Notes: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
- System Design Interviews - Generate Mindmaps & Structured Answers
- BQ总结1 · High Frequency Interview Questions and Answers
- 前言：用”模式识别”来解决SDE面试问题的方法学 | SDE Interview Guide
- 胖头龙的咸鱼刷题笔记-算法篇|一亩三分地刷题版
- GitHub - datawhalechina/daily-interview: Datawhale成员整理的面经
- 分享一些Jedi BQ的经验 · High Frequency Interview Questions and Answers
- interview questions · interview
- 个人经验教你如何准备MLE/AS的面试-Part 1|FLAAG求职讨论|一亩三分地求职（非面经）版
- Introduction to Machine Learning Interviews Book · MLIB
产品与数据分析
产品管理
- 增长黑客技能树 – 20小时入门一项增长技能
- 人人都是产品经理 | 产品经理、产品爱好者学习交流平台
- 更好的产品指标：在不同阶段如何使用指标 | 人人都是产品经理
- Startup Metrics for Pirates: AARRR! | by Alin Mateescu | I want to be a Product Manager when I grow up | Medium
- Data-Informed Product Building. An introduction from Sequoia’s Data… | by Sequoia | Sequoia Capital Publication | Medium
A/B测试
- https://norvig.com/experiment-design.html
- Causal Inference for The Brave and True — Causal Inference for the Brave and True
- Study Notes of Udacity A/B Testing | Nancy’s Notes
- RPubs - A/B Testing: Udacity Course Notes
- A Summary of Udacity A/B Testing Course | by Kelly Peng | Towards Data Science
- 1,000 Experiments Club (New Podcast Series) - AB Tasty
- Bytepawn - Marton Trencseni – Tag: ab-testing
- PRODUCT SENSE “A/B TESTING”: Interview Questions – Vivi’s Note
- Chapter 7 A/B Testing: Beyond Randomized Experiments | Causal Inference and Its Applications in Online Industry
- 从数据科学家视角深入理解AB测试 - My Everyday
数据科学博客
- Data @ Quora
- Blog | Stitch Fix Technology – Multithreaded
- Data Science - Facebook Research
- Data Science – tech-at-instacart
- Uber Data Archives - Uber Engineering Blog
- Data Science – Lyft Engineering
- Data - DoorDash Engineering Blog
- Netflix TechBlog
- Data Science : Spotify Engineering
- Data Science & Engineering — Shopify Engineering Blog
- Blog | LinkedIn Engineering
- rushter/data-science-blogs: A curated list of data science blogs
- Booking.com Tech Blog
- Experimentation Platform: Articles - Microsoft Research
- Lyst Engineering Blog
- Data Science & Data Platform Engineering – The Airbnb Tech Blog – Medium
- A B Testing Articles | LinkedIn Engineering
- diff.blog - Home
工具与资源
AI工具
游戏设计
- 轻中策桌游设计方法/经验分享 | 机核 GCORES
- 笔记：关于《关于桌游设计的10个步骤》 - 编年史家的茶会
- Game UI Database - Pokémon Omega Ruby and Alpha Sapphire
其他资源
- Spark面试八股文（上万字面试必备宝典） - 腾讯云开发者社区-腾讯云
- AI 50: Companies of the Future | Sequoia Capital
- 读书笔记 - Patterns of Distributed System - Coding Monkey’s Blog
- 领航计划
- 首页 — 优云666
- Ilya 30u30
- Slickdeals: Searching for “rtx”
- 奇绩社区精选内容 - 申请奇绩
- 陈贝迪20240811逐字稿社区版 - Feishu Docs
- Best paper awards at AAAI, ACL, CHI, CIKM, CVPR, FOCS, FSE, ICCV, ICML, ICSE, IJCAI, INFOCOM, KDD, MOBICOM, NSDI, OSDI, PLDI, PODS, S&P, SIGCOMM, SIGIR, SIGMETRICS, SIGMOD, SODA, SOSP, STOC, UIST, VLDB, WWW
- [资源推荐] 必须收藏的两个查找论文和代码实现的网站！ - 掘金
- TechCrunch – Startup and Technology News