Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
- Updated
Apr 19, 2025 - Python
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.
Service level agreement simulation for 5G network based on queueing systems.
Various things, operation related to digital Image Processing
Implementation of published results
A Symbolic Library for finding Laplace transforms for provided mathematical expressions.
Digital PLL design notes
Spectral Machine Learning for Market Microstructure: Fourier-Laplace Signal Decomposition for Alpha Discovery
Apply openCV functions to fix bad images and enhance the quality with GUI
A(nother) Python Package about Control Theory
version control for working code for ENG3370 - intro to fdbk sys & ctrls - http://faculty.olin.edu/klundberg/controls/
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