Hierarchical Mixture of Experts,Mixture Density Neural Network
☆45Mar 31, 2017Updated 9 years ago
Alternatives and similar repositories for Mixture-Models
Users that are interested in Mixture-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Basic implementation of variational autoencoders in Torch☆10Apr 16, 2016Updated 10 years ago
- ☆22May 24, 2019Updated 7 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Jan 9, 2015Updated 11 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Map-Reduce implementation of some machine learning algorithms☆23Jun 7, 2015Updated 11 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A collection of reinforcement learning algorithms.☆10Apr 4, 2021Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- 数学基础☆13Feb 8, 2018Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 6 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 7 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 2017Updated 9 years ago
- Theano☆11Aug 26, 2017Updated 9 years ago
- Gaussian Mixture Model Implementation in Pyspark☆31Dec 2, 2014Updated 11 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆520Sep 22, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- Implementation of Deep Feature Interpolation☆54May 12, 2018Updated 8 years ago
- Now it is exported as an official example☆13Jan 24, 2018Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 6 years ago
- ☆13Jul 3, 2016Updated 10 years ago
- Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitio…☆32Dec 6, 2017Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- The material for the Quantitative Big Imaging Course at ETHZ☆10May 26, 2016Updated 10 years ago
- Chinese word segmentation with the neural seq2seq model implement in pytorch☆10Dec 13, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Apr 10, 2019Updated 7 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆362Jun 30, 2017Updated 9 years ago
- Demand Flexibility Controls Library using Semantics☆11Updated this week
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 11 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- Scalable GP Adapter for Time Series Classification☆13Aug 29, 2017Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 9 years ago
- ☆75Dec 15, 2018Updated 7 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.
- Random Forest retrieval for exoplanet atmospheres☆13Mar 17, 2023Updated 3 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Jun 3, 2018Updated 8 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- Big Topic Model is a fast engine for running large-scale Topic Models.☆23Mar 25, 2017Updated 9 years ago
- PReMiuM R package☆14Updated this week
- The slides and exercises for the spring semester course at ETH Zurich☆12Jun 9, 2017Updated 9 years ago
- My Curriculum Vitae, generated in Python via Jinja from JSON fields into HTML. http://timsainburg.com/pages/cv.html☆12Apr 6, 2025Updated last year