README.md

Awesome List of Awesome Lists on Machine Learning

A curated list of awesome lists on Machine Learning.

https://xkcd.com/1838/

Contents

• General ML
• Application Fields
• ML sub-fields
  • Explainability, Interpretability and Fairness
• Computer Vision
• Datasets
• Summer schools, conferences,...
• Outdated

General ML

Tools, tutorials, software engineering best practices and other.

• Production machine learning
  Open source libraries to deploy, monitor, version and scale your machine learning

• Software engineering for machine learning
  Articles that cover the software engineering best practices for building machine learning applications

• MLOps (Machine Learning Operations)
  References for MLOps

• System for machine learning
  Research in machine learning system

• H2O
  Research, applications and projects built using the H2O Machine Learning platform

• Machine learning with Ruby
  Resouces for ML in Ruby

• Machine learning tutorials
  Machine learning and deep learning tutorials, articles and other resources

• Machine learning software
  Learning frameworks, libraries and software.

Application fields

ML applied to specific fields.

• Machine learning for cybersecurity
  Tools and resources related to the use of machine learning for cyber security

ML Sub-fields

• Multimodal machine learning
  Research topics in multimodal machine learning

• Domain adaptation
  Papers, applications and resources about domain adaptation

• Anomaly detection
  Anomaly detection resources

• Out-of-distribution detection
  Out-of-distribution detection, robustness, and generalization resources

• Learning with label noise
  Papers, surveys and other resources for learning with noisy labels

• Open Set Recognition
  Papers and resources linked to open set recognition, out-of-distribution, open set domain adaptation, and open world recognition

• Online Machine Learning
  Papers and resources about machine learning on data arriving sequentially

• AutoML
  Papers and resources about automated machine learning

• Data-centric AI
  List of resources on data-centric AI, which focuses on enhancing data quality and quantity to improve AI systems

• Decision Tree Research Papers
  A collection of research papers on decision, classification and regression trees with implementations.

Explainability, Interpretability and Fairness

• Machine learning interpretability
  Machine learning interpretability resources

• Fairness papersl
  Papers on fairness in NLP

• Explanable AI
  Research materials on explainable AI/ML

• XAI
  XAI and Interpretable ML papers, methods, critiques, and resources

• Explanatory supervision
  Relevant resources for machine learning from explanatory supervision

Computer Vision

• Computer vision
  Computer vision resources

• Deep learning
  Deep Learning tutorials, projects and communities

• 3D machine learning
  A resource repository for 3D machine learning

• Scene understanding
  Papers for scene understanding

• Deep learning for video analysis
  Research on video analysis, especially multimodal learning for video analysis

• Deep learning object detection
  Papers about object detection using deep learning

• Image classification
  Deep learning image classification papers and codes since 2014

• Face recognition
  Papers about face detection, face alignment, face recognition and other

• Document understanding
  Resources for document understanding topic related to intelligent document processing

Datasets

• Public datasets
  A topic-centric public data sources in high quality

• Dataset tools
  Labeling tools and libraries for images, audio, time series and text

• Robotics datasets
  Datasets for robotics and computer vision

Events

• Summer schools in machine learning + related fields. \

Outdated

Lists that are either explicitly deprecated by their authors or no longer updated for more than two years, but they are still a good reference.

• Adversarial machine learning
  [Deprecated]

• Machine learning on source code
  [Deprecated]

• Most cited deep learning papers
  The most cited deep learning papers (2012-2016) [Deprecated]

• CoreML models
  Models for Core ML (for iOS 11+)

• Quant machine learning trading
  Quant/Algorithm trading resources with an emphasis on Machine Learning

• Quantum machine learning
  Quantum machine learning algorithms,study materials,libraries and software

• Human pose estimation
  Mainly focus on human pose estimation, and will include mesh representation, flow calculation, (inverse) kinematics, affordance, robotics, or sequence learning

• Action recognition
  Action recognition and related area resources

• Fairness in AI
  Fairness in AI resources

Contribute

Contributions welcome! Feel free to open a pull-request!

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