Variational inference for Gaussian mixture models
☆35Sep 23, 2013Updated 13 years ago
Alternatives and similar repositories for vbmm
Users that are interested in vbmm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- truncated Gaussian-Mixture Variational AutoEncoder☆11Mar 14, 2019Updated 7 years ago
- Python Framework for sparse neural networks☆19Apr 28, 2017Updated 9 years ago
- Localized Multiple Kernel k-Means Clustering☆27Apr 18, 2019Updated 7 years ago
- MTH225 Statistics for Science Spring 2016☆12May 13, 2016Updated 10 years ago
- Integrative clustering for heterogeneous biomedical datasets.☆16May 4, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PReMiuM R package☆14Nov 14, 2023Updated 2 years ago
- ☆24Apr 16, 2016Updated 10 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Sep 4, 2014Updated 12 years ago
- Cluster high dimensional categorical datasets☆17Sep 11, 2023Updated 3 years ago
- Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"☆10Oct 16, 2025Updated 11 months ago
- This implements variational inference for the correlated topic model.☆21Oct 5, 2014Updated 11 years ago
- ☆31Oct 7, 2017Updated 8 years ago
- SparseAutoEncoder - Unsupervised Learning☆14May 15, 2012Updated 14 years ago
- Basic implementation of variational autoencoders in Torch☆10Apr 16, 2016Updated 10 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- An outcome weighted supervised clustering algorithm, designed to classify patients according to their molecular as well as time-event or …☆16Apr 18, 2024Updated 2 years ago
- ☆13May 8, 2020Updated 6 years ago
- polygenic scores using variational inference on GWAS summary statistics from multiple cohorts☆11Dec 7, 2022Updated 3 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 5 years ago
- Distributed SDDMM Kernel☆13Jul 8, 2022Updated 4 years ago
- Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)☆28Feb 6, 2015Updated 11 years ago
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆865Mar 20, 2024Updated 2 years ago
- UT Austin Machine Learning Group Latent Variable Modeling Toolkit☆26Feb 2, 2012Updated 14 years ago
- Parallel solver for graph Laplacians from large social networks.☆11Jan 5, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Fast and Efficient Tool to Simulate Summary Statistics from Genome-Wide Association Studies☆12May 21, 2024Updated 2 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- Python tools to build, do inference with, and learn undirected graphical models.☆14Mar 25, 2019Updated 7 years ago
- Provides and wraps the Randomkit library, copied from Numpy.☆35Apr 23, 2019Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆37Jan 15, 2014Updated 12 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 7 years ago
- ☆22Feb 13, 2017Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆95May 23, 2016Updated 10 years ago
- VAEs on Sparse Data☆12Oct 15, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Open access book on variational Bayesian methods written collaboratively☆28Apr 16, 2015Updated 11 years ago
- Stochastic simulation of next-generation sequencing data from neutrally evolving tumors☆10Nov 9, 2016Updated 9 years ago
- Training MMDetection CV models on AWS Sagemaker platform☆15Jan 20, 2021Updated 5 years ago
- Deep reinforcement learning package for torch7☆16Sep 17, 2016Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference☆12Nov 2, 2015Updated 10 years ago
- Framework of DataLog Neural Program Synthesis☆27Apr 2, 2019Updated 7 years ago