Hierarchical Mixture of Experts,Mixture Density Neural Network
☆45Mar 31, 2017Updated 8 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 9 years ago
- Bayesian Model Inference using MCMC☆19Mar 29, 2020Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- ☆22May 24, 2019Updated 6 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- quant++: A C++ quantitative trading framework.☆22Jun 21, 2012Updated 13 years ago
- Keras like network builder for Chainer☆11Oct 22, 2017Updated 8 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
- Dirichlet-Variational Auto-Encoder by PyTorch☆24Oct 8, 2025Updated 5 months ago
- Extract .jpg files from video, with accurate frame rate manipulation☆15May 10, 2013Updated 12 years ago
- A partial solution manual for: The Elements of Statistical Learning by Jerome Friedman, Trevor Hastie, and Robert Tibshirani☆17Jun 19, 2016Updated 9 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 2017Updated 9 years ago
- ☆23Feb 8, 2019Updated 7 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.
- Long Short-Term Memory Recurrent Neural Networks☆26Jun 11, 2015Updated 10 years ago
- ☆12May 12, 2016Updated 9 years ago
- Implementation of Deep Feature Interpolation☆54May 12, 2018Updated 7 years ago
- Now it is exported as an official example☆13Jan 24, 2018Updated 8 years ago
- ☆13Jul 3, 2016Updated 9 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- This is my attempt at the ActivityNet Challenge 2017. Thanks to the organizers for providing the boilerplate code and annotated datasets.…☆10Jul 19, 2017Updated 8 years ago
- Deploying a text classifier developed in TensorFlow 2.X with TensorFlow Serving + Docker☆11Oct 22, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Easy access to a notes file in Emacs☆24Jun 29, 2024Updated last year
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- ☆13Jul 4, 2020Updated 5 years ago
- Demand Flexibility Controls Library using Semantics☆11Jan 14, 2026Updated 2 months ago
- Gradient Estimation in Stochastic Computation Graphs using TensorFlow.☆17Dec 20, 2017Updated 8 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆357Jun 30, 2017Updated 8 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- Hybrid Car Model MATLAB Simulink Simscape☆15Jul 27, 2023Updated 2 years ago
- Tutorials for deep learning☆254May 18, 2018Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Boosting and ensemble learning in Python.☆54Apr 6, 2015Updated 10 years ago
- Enhanced version of LIBSVM project (C++ version)☆18Apr 23, 2012Updated 13 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- ☆20Nov 6, 2014Updated 11 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 8 years ago
- Time-series Bitmap model for anomaly detection☆16Aug 6, 2017Updated 8 years ago