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
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆101Updated 6 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months ago
- ☆24Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Masked Autoregressive Flow☆218Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Bayesian Neural Network in PyTorch☆93Updated last year
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆52Updated 3 years ago
- Robust pricing and hedging via Neural SDEs☆37Updated 4 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆139Updated 3 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Foundations and Applications☆102Updated 5 years ago
- PyTorch implementation of the Masked Autoregressive Flow☆30Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 3 weeks ago
- ☆30Updated 2 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated last week
- ☆68Updated 2 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
- [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
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆55Updated last year