yumilceh / igmmLinks
Incremental Learning of Gaussian Mixture Models (IGMM)
☆30Updated 7 years ago
Alternatives and similar repositories for igmm
Users that are interested in igmm are comparing it to the libraries listed below
Sorting:
- ☆47Updated 3 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆99Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Online Robust Principal Component Analysis☆101Updated 5 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Bayesian Neural Network in PyTorch☆93Updated last year
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- ☆28Updated 6 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆65Updated 2 years ago
- Extreme Learning Machine implemented in Pytorch☆105Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- ☆82Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Kalman Variational Auto-Encoder☆138Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆61Updated 2 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 6 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 6 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Python library for Recurrent Gaussian Processes☆22Updated 8 years ago