MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
该仓库汇集了14个AI子领域的高质量、权威教科书，全部来自官方来源，确保合法性和最新版本，并积极鼓励社区贡献。
适合谁使用
- AI/ML领域的学生和研究人员
- 寻求结构化资源的自学者
- 需要参考手册的从业者
- 编写课程阅读清单的教育工作者
典型使用场景
- 寻找深度学习、自然语言处理或强化学习课程的免费、可信教材
- 建立个人开放获取AI参考书库
- 发现频繁更新的活跃草稿（如《语音与语言处理》第三版）
- 核实广受引用的ML文本的官方来源
项目优势
- 严格使用官方链接（无盗版或第三方副本），尊重版权并提供最新版本
- 覆盖从数学到AI安全的14个类别，范围广泛
- 社区驱动，贡献指南清晰，并设有自动链接检查
- 包含多本持续更新的书籍（如《深度学习》、《语音与语言处理》、《深度学习小书》）
使用前须知
- 仅包含书籍链接，无原创内容或摘要
- 部分书籍年代较早（如1999年、2003年），可能未反映最新研究
- 仅限于文本类书籍，不包括课程、论文或交互式资源
README 快速开始
📚 Awesome Free AI Books
A curated list of free, legitimately accessible books on Deep Learning, Reinforcement Learning, Probabilistic Machine Learning, NLP/LLMs, and mathematical foundations — all made officially available by their own authors or publishers.
Every link points to an official source. This repository doesn't host any files — it only organizes and catalogs what authors already offer for free. See why at the bottom.
Table of Contents
- 🧠 Deep Learning
- 🎮 Reinforcement Learning
- 📊 Probabilistic / Bayesian
- 📈 Classical Machine Learning / Statistics
- 🗣️ NLP / LLMs
- 🧮 Mathematics for ML
- 🖥️ ML Systems / Infrastructure
- 👁️ Computer Vision
- 🎨 Generative Models (Diffusion, GANs, VAEs)
- 🔗 Causal Inference
- 🕸️ Graph Neural Networks
- 🛡️ AI Safety / Alignment
- 🎓 Advanced RL / Theory
- How to Contribute
- Why Official Links Only
🧠 Deep Learning
| Book | Author(s) | Year | Official Link |
|---|---|---|---|
| Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville (MIT Press) | 2016 | deeplearningbook.org |
| Understanding Deep Learning | Simon J.D. Prince | 2023 | udlbook.github.io |
| Deep Learning: Foundations and Concepts | Christopher Bishop, Hugh Bishop | 2024 | bishopbook.com |
| Dive into Deep Learning (D2L) | Zhang, Lipton, Li, Smola | 2023 | d2l.ai |
| The Little Book of Deep Learning | François Fleuret | 2023 (updated 2026) | fleuret.org |
| Neural Networks and Deep Learning | Michael Nielsen | 2015 | neuralnetworksanddeeplearning.com |
| A Brief Introduction to Neural Networks | David Kriesel | — | [ |
项目描述
A curated list of free, legitimate AI/ML books
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