Lists (2)
Stars
Awesome resources on normalizing flows.
The framework for inferring Langevin dynamics from spike data
Manifold-learning flows (ℳ-flows)
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
A package for parameter estimation of Linear-Gaussian state-space models, specialized for neuroimaging analysis
Flax is a neural network library for JAX that is designed for flexibility.
Fast implementation of Kalman filtering with PyTorch
Black box variational inference for state space models
PyTorch implementations of algorithms for density estimation
PyTorch implementation of the Masked Autoregressive Flow
A package for computing data-driven approximations to the Koopman operator.
A general-purpose Python package for Koopman theory using deep learning.
Simple package for literate programming in Julia
A tool for AI-assisted meta-review of scientific papers
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
System Identification toolbox, compatible with ControlSystems.jl
Empirical observability of individual state variables with BOUNDS: Bounding Observability for Uncertain Nonlinear Dynamic Systems.