pyMOR - Model Order Reduction with Python
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Updated
Nov 27, 2025 - Python
pyMOR - Model Order Reduction with Python
Statistical analysis and visualization of state transition phenomena
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
dynamic analysis of structural vibrations.
We introduce VLM-Mamba, the first Vision-Language Model built entirely on State Space Models (SSMs), specifically leveraging the Mamba architecture.
Stochastic filtering with moment representation
A semi-latent state-space model that combines movement, LFP, and ensemble spiking information to identify periods of replay and decode its content in real time. Long Tao et al., unpublished.
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
A state-space CNV Caller with Disease Profiling
State-Space Planning using A* Progression Search with Planning Graph Heuristics
An adversarial game-playing agent for the Isolation board game using minimax search with alpha-beta pruning.
Pure Python MIMO transfer function to state-space conversion. Easy-to-install alternative to SLYCOT with MATLAB-consistent results. No Fortran compiler required! 🚀
Solving Sudoku using constraint propagation and depth-first state-space search
artificial intelligence, assignment two
Solves three toy problems using state-space search
A Python code for designing proportional-multiple-resonant (PMR) controllers and current feedback gains for UPS systems
Udacity AI Nanodegree's Project for implementing a Planning search. This project uses multiple search algorithms to solve a planning problem and then analyses the results based on certain metrics to find the best heuristic.
AI Based Missionaries and Cannibals Problem done in python using pygame Library
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