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
- Bayesian Model Inference using MCMC☆19Mar 29, 2020Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 5 years ago
- Long Short-Term Memory Recurrent Neural Networks☆26Jun 11, 2015Updated 10 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆524Sep 22, 2021Updated 4 years ago
- ☆12May 12, 2016Updated 9 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- Custom PDF report layouts to export ggplot2 visualizations☆11Mar 1, 2019Updated 7 years ago
- JEME method for predicting enhancer targets☆11Jul 15, 2017Updated 8 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An R-like GLM package for Apache Spark☆10Aug 6, 2015Updated 10 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Deploying a text classifier developed in TensorFlow 2.X with TensorFlow Serving + Docker☆11Oct 22, 2020Updated 5 years ago
- Chinese word segmentation with the neural seq2seq model implement in pytorch☆10Dec 13, 2017Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- ☆13Jul 4, 2020Updated 5 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 10 years ago
- Gradient Estimation in Stochastic Computation Graphs using TensorFlow.☆17Dec 20, 2017Updated 8 years ago
- Demand Flexibility Controls Library using Semantics☆11Jan 14, 2026Updated 3 months 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 generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆359Jun 30, 2017Updated 8 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- Tutorials for deep learning☆254May 18, 2018Updated 7 years ago
- Hybrid Car Model MATLAB Simulink Simscape☆15Jul 27, 2023Updated 2 years ago
- Boosting and ensemble learning in Python.☆54Apr 6, 2015Updated 11 years ago
- Enhanced version of LIBSVM project (C++ version)☆18Apr 23, 2012Updated 14 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 8 years ago
- Implementation of Prim's Algorithm in Processing☆13Apr 11, 2017Updated 9 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).☆10Jan 29, 2024Updated 2 years ago
- ☆13Aug 13, 2018Updated 7 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 years ago
- ☆74Dec 15, 2018Updated 7 years ago
- Big Topic Model is a fast engine for running large-scale Topic Models.☆23Mar 25, 2017Updated 9 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Jan 16, 2020Updated 6 years ago