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大学指南
信息搜集
技术新闻
学习资源
CS
- 清华计算机系学生科协技能引导文档
- 菜鸟教程
- 北大CS自学指南
- Open Source Society University
- 计算机教育中缺失的一课
- 廖雪峰网站
- 南科大经验分享
- 清华大学计算机系课程攻略
- 科大计算机系资源
- 科大计算机系资源2
- USTC古学长整理资源
- 浙大课程攻略共享计划
- 北大课程资料民间整理
- 计算机名校课程
- HackWay技术学习路线
- 互联网学习社区
- Datawhale开源社区
- 软件工程编程面试学习计划
- C++ 参考网站汇总
- 科大学长麻治昊的个人主页
- Codia智能编程实验教学平台
AI
- 微软机器学习教程
- 机器学习图解
- 机器学习面试知识点
- 机器学习代码实现
- Deep Learning Interviews book
- labml.ai Deep Learning Paper Implementations
- Top 65 Machine Learning Interview Questions
- 开源大模型使用指南
- 通往AGI之路——AI资源
- 动手学深度学习官网
- 动手学深度学习讨论区
- 动手学深度学习习题解答
- GiantPandaCV: CV及LLM知识分享
科研
Linux
算法
书籍
文档
论文代码实现
Github
- Github官方文档
- Github漫游指南
- Github热门趋势
- HelloGitHub——分享GitHub上有趣、入门级的开源项目
- Github优秀开源项目搜集
- Github开源项目精选
- Games on GitHub
网课
Python爬虫
其他
AI经典论文
卷积神经网络
- ImageNet Classification with Deep Neural Networks
- CS231n Convolutional Neural Networks for Visual Recognition
- Deep Residual Learning for Image Recognition
- Identity Mappings in Deep Residual Networks
- Multi-Scale Context Aggregation by Dilated Convolutions
循环神经网络
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Understanding LSTM Networks
- Recurrent Neural Network Regularization
- Pointer Networks
- Relational Recurrent Neural Networks
- Neural Turing Machines
- Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
- Order Matters: Sequence to Sequence for Sets
- Neural Machine Translation by Jointly Learning to Align and Translate
- A Simple Neural Network Module for Relational Reasoning
Transformers
信息论
- The First Law of Complexodynamics
- Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
- A Tutorial Introduction to the Minimum Description Length Principle
- Kolmogorov Complexity and Algorithmic Randomness
- Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
元学习
- Meta-Learning with Memory-Augmented Neural Networks
- Prototypical Networks for Few-shot Learning
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
强化学习
- Human-level concept learning through probabilistic program induction
- Neural Architecture Search with Reinforcement Learning
- A Simple Neural Attentive Meta-Learner
自我博弈
- Hindsight Experience Replay
- Continuous control with deep reinforcement learning
- Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
- Meta Learning Shared Hierarchies
- Temporal Difference Learning and TD-Gammon, 1995
- Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994
- Emergent Complexity via Multi-Agent Competition
- Deep reinforcement learning from human preferences
其他
- GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
- Variational Lossy Autoencoder
- Neural Quantum Chemistry
- Machine Super Intelligence
- Gradient-based learning applied to document recognition - Yann LeCun 等人的工作，他在 CNN 的实际应用方面做出了开创性的工作
- Generative Adversarial Networks - Ian Goodfellow 等人的工作，他在生成对抗网络（GAN）方面的工作长期主导了图像生成领域
- Human-level control through deep reinforcement learning - Demis Hassabis 等人的工作，他在 AlphaFold 方面的强化学习研究获得了诺贝尔奖
- AlphaFold at CASP13 - Demis Hassabis 等人的工作，他在 AlphaFold 方面的强化学习研究获得了诺贝尔奖
工具/指南
指南
- 提问的智慧 中文
- 提问的智慧 英文
- Github开源项目维护指南
- PEP 8 — the Style Guide for Python Code
- 中文技术文档写作风格指南
- 科大VSCode文档（VSCode配置教程）
- 如何有效地报告bug