机器学习资源列表(AwesomeList)汇总

点击上方“小白学视觉”，选择加"星标"或“置顶”

重磅干货，第一时间送达

推荐一个超赞的github库，作者用一个多月时间整理了一份几乎涉及机器学习/深度学习一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的分类资源列表汇总。

内容包括从研究到实践，从学术界到工业界，从论文到教程的各种中英文资源列表。所有内容都标注了star数和是否还在更新，希望能为机器学习从业者带来帮助。

如下Github项目预览：

【https://github.com/ZhiningLiu1998/awesome-machine-learning-resources】

目录

• 通用机器学习
• 机器学习范式
• 半监督/自监督学习 | Semi/Self-Supervised Learning
• 对比学习 | Contrastive Learning
• 表示学习 | Representation Learning (Embedding)
• 度量学习 | Metric Learning
• 强化学习 | Reinforcement Learning
• 迁移学习 | Transfer Learning
• 元学习 | Meta-learning
• 多任务学习 | Multi-task Learning
• 不平衡/长尾学习 | Imbalanced/Long-tail Learning
• 少样本学习 | Few-shot Learning
• 对抗学习 | Adversarial Learning
• 鲁棒/稳健学习 | Robust Learning
• 主动学习 | Active Learning
• 终生/增量/持续学习 | Lifelong/Incremental/Continual Learning
• 集成学习 | Ensemble Learning
• 自动机器学习 | Automated Machine Learning (AutoML)
• 联邦学习 | Federated Learning
• 异常检测 | Anomaly Detection
• 聚类 | Clustering
• 降维/特征选择 | Dimensionality Reduction (Feature Selection/Extraction)
• 机器学习任务 & 应用
• 计算机视觉 | Computer Vision (CV)
• 自然语言处理 | Natural Language Processing (NLP)
• 多模态 & 跨模态学习 | Multi-modal & Cross-modal Learning
• 图学习 | Graph Learning
• 知识图谱 | Knowledge Graph
• 时间序列/流学习 | Time-series/Stream Learning
• 推荐系统 | Recommender Systems
• 信息抽取 | Information Retrieval
• 博弈 & 搜索 | Gaming & Searching
• 机器学习模型
• 自然语言处理 | in NLP (BERT, RoBERTa, GPT, etc.)
• 计算机视觉 | in CV (Visual Transformers, etc.)
• 其他主题 | in other topics
• 预训练 & 基础模型 | Pretrained & Foundation Model
• 卷积神经网络 | Convolutional Neural Network (CNN)
• 循环神经网络 | Recurrent Neural Network (RNN, LSTM, GRU, etc.)
• 图神经网络 | Graph Neural Network (GNN, GCN, GAT, etc.)
• 生成模型 & 对抗生成网络 | Generative Model & Generative Adversarial Network (GAN)
• 变分自编码器 | Variational Autoencoder
• 树模型 & 集成模型 | Tree-based & Ensemble Model
• 机器学习可解释性 & 公平性 & 道德
• AI可解释性 | Interpretability in AI
• AI公平性 | Fairness in AI
• AI道德 | Ethics in AI
• 交叉学科：机器学习+X
• 系统 | System (MLSys/SysML)
• 数据库 | Database (AIDB/ML4DB)
• 软件工程 | Software Engineering (MLonCode)
• 网络安全 | Cyber Security
• 量子计算 | Quantum Computing
• 医疗 & 卫生保健 | Medical & Healthcare
• 生物信息学 | Bioinformatics
• 生物学 & 化学 | Biology & Chemistry
• 金融 & 交易 | Finance & Trading
• 商业 | Business
• 法律 | Law
• 机器学习数据集
• 工业机器学习
• 开源软件库
• 大数据框架
• 致谢 ✨
• 贡献者 ✨
  
  

通用机器学习

• 实践

• scikit-learn: machine learning in Python.
• A curated list of awesome machine learning frameworks, libraries and software (by language).
• [List, Library] Awesome Machine Learning
• [Library] scikit-learn

• 研究

• A curated list of the most cited deep learning papers (2012-2016).
• A curated list of awesome deep learning books, courses, videos, lectures, tutorials, and more.
• Impactful and widely cited papers and literature on ML/DL/RL/AI.
• [List] Papers-Literature-ML-DL-RL-AI 
  [List] Awesome Deep Learning [⚠️Inactive] 
  
  

机器学习范式

半监督/自监督学习 | Semi/Self-Supervised Learning

• 综合

• Collecting papers about Self-Supervised Learning, Representation Learning.
• A curated list of awesome Self-Supervised Learning resources.
• A curated list of awesome Semi-Supervised Learning resources.
• [List] Awesome Semi-Supervised Learning 
• [List] Awesome Self-Supervised Learning 
• [List] Awesome Self-Supervised Papers 

• 子主题

• Papers about self-supervised learning on Graph Neural Networks (GNNs).
• A curated list for awesome self-supervised graph representation learning resources.
• [List] Awesome Graph Self-Supervised Learning 
• [List] Awesome Self-supervised GNN 

• 实践

• A Lite BERT for Self-supervised Learning of Language Representations.
• Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities.
• OpenMMLab Self-Supervised Learning Toolbox and Benchmark.
• [Library] mmselfsup 
• [Library] unilm 
• [Library] albert 

对比学习 | Contrastive Learning

• 综合

• A comprehensive list of awesome Contrastive Learning Papers&Codes.
• A comprehensive list of awesome contrastive self-supervised learning papers.
• 
  

表示学习 | Representation Learning (Embedding)

• 综合

• Reading List for Topics in Representation Learning.
  A curated list of awesome embedding models tutorials, projects and communities.
  
  

• 子主题

• Heterogeneous Graph Embedding, Heterogeneous GNNs and Applications.
• Papers on disentangled (and an occasional "conventional") representation learning.
• NRL: network representation learning. NE: network embedding.
• Network representation learning, graph embedding, knowledge embedding.
• A curated list for awesome deep graph representation learning resources.
• Awesome Transformers (self-attention) in Computer Vision.
• Awesome work on the VAE, disentanglement, representation learning, and generative models.
• Curated list of 2vec-type embedding models.
• A curated list of resources on implicit neural representations.
  A curated list of pretrained sentence and word embedding models.
  
  

强化学习 | Reinforcement Learning

• 综合

• 强化学习从入门到放弃的资料
• A curated list of awesome Deep Reinforcement Learning resources.
• A list of recent papers regarding deep learning and deep reinforcement learning.
  A curated list of resources dedicated to reinforcement learning.
  
  

• 子主题

• Curated List of Reinforcement Learning Resources for Natural Language Processing.
• This is a list of various books, courses and other resources for robotics
• Collection of competitions for Reinforcement Learning.
• A curated, but incomplete, list of game AI resources on multi-agent learning.
• Great resources for making Reinforcement Learning work in Real Life situations. Papers, projects and more.
• This is a collection of research and review papers for offline reinforcement learning.
  
  

• 实践

• Minimal and Clean Reinforcement Learning Examples.
• Reinforcement Learning Methods and Tutorials.
• Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow.
• Python replication for Sutton & Barto's book Reinforcement Learning: An Introduction (2nd Edition).
• Library of contextual bandits algorithms.
• Python library for Multi-Armed Bandits.
• Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
• Reinforcement learning framework and algorithms implemented in PyTorch.
• Reinforcement Learning in PyTorch.
• TensorFlow Reinforcement Learning.
• A toolkit for developing and comparing reinforcement learning algorithms.
  
  

迁移学习 | Transfer Learning

• 综合

• A list of awesome papers and cool resources on transfer learning, domain adaptation and domain-to-domain translation in general.
• Everything about Transfer Learning.
• [List] 迁移学习 Transfer Learning
• [List] Awesome Transfer Learning

• 子主题

• Domain generalization papers and datasets.
• This repo is a collection of AWESOME things about domain adaptation, including papers, code, etc.
• [List] Awesome Domain Adaptation
• [List] Domain Generalization 

• 实践

• Deep learning simplified by transferring prior learning using the Python deep learning ecosystem.
• A collection of implementations of deep domain adaptation algorithms
• Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization.
  
  

元学习 | Meta-learning

• 综合

• A curated list of Meta-Learning resources.
• A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
• Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning.
• A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.
  
  

• 实践

• Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow.
• A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.
• A PyTorch Library for Meta-learning Research.
  ......