Pytorch implementation of the SGU-MLP Architecture (mostly) as described in the paper "Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping". - simulacrum6/sgumlp ...

First, we characterize multiview data with two hidden views, which are obtained by adaptive multiview non-negative matrix factorization (NMF) and fuzzy partition information of each sample in ...

Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator Malaria, a life-threatening disease worldwide, can be diagnosed ...

Reduce n_neurons or use CutlassMLP (better compatibility but slower) instead. I think A100 should have a big shared memory and the layers or number of neurons of the Fully-fused-MLP are not big.