Dirichlet Process Mixture using PVI, SMC, Variational
☆15Jun 20, 2014Updated 11 years ago
Alternatives and similar repositories for SequentialInference
Users that are interested in SequentialInference are comparing it to the libraries listed below
Sorting:
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Oct 14, 2014Updated 11 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 9 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Feb 2, 2015Updated 11 years ago
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Aug 3, 2011Updated 14 years ago
- Incremental Slow Feature Analysis☆16Aug 29, 2014Updated 11 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Jan 15, 2014Updated 12 years ago
- Categorical Latent Gaussian Process☆16Mar 7, 2015Updated 10 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Apr 18, 2018Updated 7 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20May 15, 2017Updated 8 years ago
- mean-field and structured VAEs for the IBP☆23Feb 12, 2018Updated 8 years ago
- A Web-Based Visualization Tool for Biclustering of Multivariate Time Series☆10Feb 17, 2023Updated 3 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Apr 16, 2015Updated 10 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 5 years ago
- Deep exponential families (DEFs)☆55Feb 8, 2018Updated 8 years ago
- simple MATLAB code for randomized matrix computation☆23Nov 13, 2015Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Sep 19, 2017Updated 8 years ago
- Details about the wide minima density hypothesis and code to compute width of a minima☆10Nov 30, 2024Updated last year
- ☆11May 25, 2023Updated 2 years ago
- Implementation of VLAE☆214Dec 21, 2017Updated 8 years ago
- Machine learning for sequential/streaming data☆35Jul 8, 2016Updated 9 years ago
- Iterative Random Forest based on the Ranger Code Base☆10Sep 14, 2021Updated 4 years ago
- ☆10Jun 23, 2018Updated 7 years ago
- Some time series vectorization methods which could give better representation for classification / clustering or other analysis.☆11Jan 4, 2016Updated 10 years ago
- High-level spiking model definition and workflow framework☆19Nov 24, 2025Updated 3 months ago
- Generator of polynomial machine learning potentials☆19Updated this week
- Prepare topology and coordinate file for CG models in Genesis.☆13Jul 3, 2025Updated 7 months ago
- An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions☆12Mar 13, 2025Updated 11 months ago
- Bayesian power spectral analysis tools☆15Jul 18, 2016Updated 9 years ago
- ☆12Feb 27, 2023Updated 3 years ago
- False discovery rate regression☆10Nov 12, 2020Updated 5 years ago
- hopfield☆30Oct 8, 2021Updated 4 years ago
- Full-potential Linearized Augmented Plane Wave code FLEUR: All-electron DFT (repo mirror)☆17Feb 20, 2026Updated last week
- Embedding module for VASP and tools for its use.☆10Feb 20, 2025Updated last year
- Deep GPs with GPy☆31May 18, 2016Updated 9 years ago
- python wrapper for fdmnes data input/output☆14Feb 16, 2026Updated last week
- Deep Neural Networks for Python☆10Sep 22, 2015Updated 10 years ago
- Python library for computing electron-phonon renormalizations from finite displacements☆11Jan 6, 2025Updated last year