XingzhiZhou

clustering-benchmark

Deep-Representation-Literature-Summary

This repository is for the literature summary for Deep Representation, inspired by the work "zhoushengisnoob / DeepClustering".

DeepClustering

Methods and Implements of Deep Clustering

deepul

DMC

Deep multidimensional clustering: multiple partitions on unlabeled images

examples

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

Learning_material_collection

Material collected for learning

MCRec

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

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

ParametricUMAP_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

PICA

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

pt-dec

PyTorch implementation of DEC (Deep Embedding Clustering)

pytorch-grad-cam

PyTorch implementation of Grad-CAM

self-label

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

text_gcn.pytorch

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

Unsupervised-Classification

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

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XingzhiZhou_log

My homepage