rasmusbergpalm / pytorch-lgssmLinks
A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System (LDS)
☆13Updated 4 years ago
Alternatives and similar repositories for pytorch-lgssm
Users that are interested in pytorch-lgssm are comparing it to the libraries listed below
Sorting:
- ☆135Updated last year
- Continual Gaussian Processes☆31Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆142Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆99Updated 9 months ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Bayesian Neural Network in PyTorch☆93Updated last year
- Regression datasets from the UCI repository with standardized test-train splits.☆51Updated 3 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers☆30Updated 3 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated last year
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Updated 2 years ago
- Foundations and Applications☆101Updated 5 years ago
- Consistent Koopman Autoencoders☆75Updated 2 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 2 weeks ago
- ☆24Updated 4 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆93Updated 5 years ago
- Python package for canonical vine copula trees with mixed continuous and discrete marginals☆49Updated 2 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆24Updated 4 years ago
- Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)☆292Updated last year
- A non-parametric Bayesian approach to Hidden Markov Models☆86Updated 2 years ago
- A curated list of awesome variational inference☆26Updated 5 years ago
- Pytorch implementation of GRU-ODE-Bayes☆233Updated 3 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago