LiquidLab — Interactive Liquid Neural Networks & Continuous-Time Models Laboratory. 6 modules: LTC dynamics, Neural ODE, C. elegans connectome, CfC networks, adaptive inference, efficiency arena. Zero dependencies.
Chain-of-density study of 'Recursive Language Models' (Zhang, Kraska & Khattab 2025, MIT CSAIL, arXiv:2512.24601) - five-tier note, locator-verified. The prompt-as-environment paradigm Trellis implements: REPL offloading, recursive sub-calls, 10M+ token inputs.
Add a description, image, and links to the mit-csail topic page so that developers can more easily learn about it.
To associate your repository with the mit-csail topic, visit your repo's landing page and select "manage topics."