100-Days-Of-ML-Code中文版
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100-Days-Of-ML-Code中文版
VIP cheatsheets for Stanford's CS 229 Machine Learning
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Algorithms for outlier, adversarial and drift detection
A curated list of community detection research papers with implementations.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
Implementation of Partitioning Around Medoids (PAM) in H2O-3
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