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navaneet625 / CRSD_model

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CRSD is a minimal, research-oriented sequence modeling framework built from scratch to explore state-space models (SSMs) and sequence-to-sequence architectures in PyTorch. It’s designed to be fully reproducible, interpretable, and extensible — suitable both for learning and for building experimental variants such as nonlinear-SSMs, gated decoders

machine-learning research ai deep-learning pytorch sequence-to-sequence representation-learning state-space-models open-source-ml-platform long-context experimental-architecture transformer-alternative gated-decoder
  • Updated Oct 22, 2025
  • Python

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