guxd / deepHMM
A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]
☆55Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for deepHMM
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆36Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 8 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆41Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- ☆36Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Learning error bars for neural network predictions☆68Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆19Updated 5 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆127Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 5 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Updated 3 years ago
- Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).☆15Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆88Updated last year
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 4 years ago
- Training quantile models☆40Updated 3 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆41Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Contrastive Learning for Time Series☆38Updated last year
- Mixture density network implemented in PyTorch.☆132Updated last year