HERECJ / fastvae

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The code and data for FastVAE

An example run file is run.py

Baseline vae_cf
run.py --model 'vae' --sampler 0

Our method run.py --model 'vae' --sampler No.sampler

sampler 1: uniform 2: popular 3: Extract 4: MIDX 5: MIDX_Uni 6: MIDX_Pop 7: MIDX_Res 8: DNS 9: Kernel Based

More parameters can be found in the run.py file, including the learning rate, batch size, epoch, step size and so on

The dataset can be found in the 'datasets' directory

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