qu-gg / torch-neural-ssmLinks
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
☆49Updated 7 months ago
Alternatives and similar repositories for torch-neural-ssm
Users that are interested in torch-neural-ssm are comparing it to the libraries listed below
Sorting:
- ☆65Updated 11 months ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Linear and non-linear spectral forecasting algorithms☆137Updated 4 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆143Updated last year
- A Python package to learn the Koopman operator.☆60Updated 8 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- ☆14Updated 2 years ago
- A Brief Introduction to Path Signatures for Machine Learning Practitioners☆52Updated 4 years ago
- ☆88Updated 2 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆44Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Embed strange attractors using a regularizer for autoencoders☆133Updated 4 years ago
- A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.☆92Updated last year
- ☆151Updated 2 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated 2 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- ☆12Updated 3 years ago
- ☆12Updated 2 years ago
- Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch☆71Updated 3 months ago
- Bayesian learning and inference for state space models☆641Updated 2 months ago
- PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.☆83Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆223Updated 9 months ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆54Updated 3 years ago
- Toolbox for working with streaming data as rough paths in Python☆38Updated this week
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆95Updated 2 years ago
- ☆23Updated last year
- System identification in PyTorch☆26Updated 2 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago