Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning
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Updated
Dec 26, 2021 - Jupyter Notebook
Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Baselines with Momentum Contrastive Learning, 2020).
codes for TGRS paper: Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
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