PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.
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A PyTorch implementation of DenseNet.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / ...
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2...
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Ma...
"Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (...
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments w...
Visualization tool for Graph Neural Networks
PyTorch implementation of Self-training approch for short text clustering
This is a pytorch implementation of k-means clustering algorithm
A memory-efficient implementation of DenseNets
Comparing keras, pytorch and gluon using neural collaborative filtering