Feed Hungry Hungry Hippos (H3) - Do Languange Modeling with a 🦛 (unofficial)
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Updated
Mar 13, 2023 - Python
Feed Hungry Hungry Hippos (H3) - Do Languange Modeling with a 🦛 (unofficial)
Conrol theory project a friend and I did for our Intelligent Control class during our minor (undergraduate level)
Implementation of different Lorenz models (Matlab and Python)
Repository for the 2022 MLMI work, "Neural State-Space Modeling with Latent Causal-Effect Disentanglement."
Spectral State-Space Models
Factorial latent dynamic models trained on Markovian simulations of biological processes using single cell RNA sequencing data.
Arbitrage-free Dynamic Generalized Nelson-Siegel model of interest rates following Christensen, Diebold and Rudebusch; and its estimation using the Kalman filter / maximum likelihood.
We use EM for a mixture of state space models to perform unsupervised clustering of short trajectories.
Statecraft - Load, store and remix states for SSMs, Mamba and Stateful models
Newton-based maximum likelihood estimation in nonlinear state space models
Sound source localization by locally fitting autonomous state space models (LSSMs)
Python state-space models
A flexible data simulator for Kafka and OpenShift using state-space models
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
Simple implementations of long-range sequence models (LRU, S5, S4, and more).
Improve the Attentive State-Space Model by transformer
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
Variational Joint Filtering
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
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