Awesome List of Awesome Lists on Machine Learning

A curated list of awesome lists on Machine Learning.

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.

ML applied to specific fields.

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

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.
Loss Functions
350+ loss functions across 25+ subdomains of deep learning and machine learning, with paper links, math formulations, and implementations

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

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

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

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