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dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-Model
Forked from NogaMudrik/dLDS-Discrete-Python-ModelDecomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
Project done as part of the course on Probabilistic Graphical Models by Pierre Latouche and Pierre-Alexandre Mattei. JAX Implementation of the FastICA algorithm, a Newton's descent algorithm for li…
Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors