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Apr 6, 2022
Jupyter Notebook
VIP cheatsheets for Stanford's CS 229 Machine Learning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Dec 2, 2022
Python
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Anomaly detection related books, papers, videos, and toolboxes
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Aug 23, 2022
Python
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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Nov 19, 2022
Python
A library of extension and helper modules for Python's data analysis and machine learning libraries.
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Dec 1, 2022
Python
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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Nov 21, 2022
Jupyter Notebook
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
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Dec 2, 2022
Python
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
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Sep 27, 2022
Scheme
A curated list of pretrained sentence and word embedding models
Updated
Apr 23, 2021
Python
A curated list of community detection research papers with implementations.
Updated
Oct 15, 2022
Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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Nov 26, 2022
Python
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
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Oct 26, 2021
Jupyter Notebook
Unsupervised Learning for Image Registration
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Nov 30, 2022
Python
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
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Aug 11, 2022
Jupyter Notebook
Algorithms for outlier, adversarial and drift detection
Updated
Nov 30, 2022
Python
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Updated
Dec 2, 2022
Python
Composable GAN framework with api and user interface
Updated
Aug 27, 2022
Python
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