This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION". The goal of NoProp is to train neural networks without relying on traditional end-to-end backpropagation.
☆18Oct 8, 2026Updated last week
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