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I built MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings [P]

I built MaRN (Mapping Networks) , a PyTorch library that lets you optimize a compact latent representation instead of directly training every model parameter. Some results from my current benchmarks: MNIST CNN: 107,998 → 1,872 trainable parameters ( 57.7× reduction ), with 91.80% accuracy. LSTM for…

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  1. 2026-10-09 08:05 · r/MachineLearning
    I built MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings [P]

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