Self-supervised learning (SSL) is a method of machine learning

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Deep Learning Self-Supervised-Learning
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We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
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A non-linear, non-parametric Machine Learning method capable of modeling complex datasets
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Self-supervised learning on Graph Representation Learning (node-level task)

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Owner
Ashish Patel
AI Researcher & Senior Data Scientist at Softweb Solutions Avnet Solutions(Fortune 500) | Rank 3 Kaggle Kernel Master
Ashish Patel
GitHub
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Implementation of the method described in the Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

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