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:
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Updated 2 years ago
- ☆135Updated last year
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months 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"☆101Updated 6 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers☆30Updated 3 years ago
- Bayesian Neural Network in PyTorch☆93Updated last year
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Updated 4 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- ☆24Updated 4 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆52Updated 3 years ago
- ☆68Updated 2 years ago
- GANs for time series generation in pytorch☆274Updated 6 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆86Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Updated 2 years ago
- Masked Autoregressive Flow☆218Updated last year
- Foundations and Applications☆102Updated 5 years ago
- GluonTS - Probabilistic Time Series Modeling in Python☆52Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆241Updated 7 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆119Updated 2 years ago
- a python package for simulation and inference of Hawkes processes.☆70Updated 4 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆93Updated 5 years ago
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆19Updated 4 years ago