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SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PyTorch implementation of Grad-CAM

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised lear…

PyTorch implementation of DEC (Deep Embedding Clustering)

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Methods and Implements of Deep Clustering

Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

My homepage

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"