Recurrent Switching Linear Dynamical Systems
MIT License
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Bayesian inference in HSMMs and HMMs
Working directory for dynamics learning for experimental robots.
Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-im...
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
UNKNOWN
Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models buil...
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
some tools for gaussian linear dynamical systems
Extends scikit-learn with new models, transformers, metrics, plotting.
Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-...
Random feature latent variable models in Python
Python framework for inference in Hawkes processes.
Pytorch implementation of RED-SDS (NeurIPS 2021).
Interpretable neural spike train models with fully-Bayesian inference algorithms
Explore the double-descent phenomena in the context of system identification. Companion code to t...