Statistical analysis and visualization of state transition phenomena
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Updated
Sep 30, 2024 - Python
Statistical analysis and visualization of state transition phenomena
pyMOR - Model Order Reduction with Python
dynamic analysis of structural vibrations.
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
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 Long Tao et al., unpublished.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
artificial intelligence, assignment two
Artificial Inteligence Challenge: heuristic search and path-finding
AI Based Missionaries and Cannibals Problem done in python using pygame Library
Solves three toy problems using state-space search
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.
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.
Solving Sudoku using constraint propagation and depth-first state-space search
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