Implement "Were RNNs All We Needed" paper and compare it with original models
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Updated
Sep 26, 2025 - Jupyter Notebook
Implement "Were RNNs All We Needed" paper and compare it with original models
This package contains a Keras 3 implementation of the minGRU layer, a minimal and parallelizable version of the gated recurrent unit (GRU)
xlstm s/m model and mingru - minlstm for parallel concurrency or threads using stacked layers or columns like the cerebral cortex, parallel or distributed concurrent networks, let's try everything except attention :)
minGRU (Feng et al.) in PyTorch, plus a measured ladder of state-tracking recoveries — signed, rotation, Givens, and delta (DeltaNet-style Householder products) mixers with time decay, all under one parallel scan — with fused Triton GPU kernels as an optional backend
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