mcdickenson / em-gaussianLinks
Python code for Expectation-Maximization estimate of Gaussian mixture model
☆75Updated 6 years ago
Alternatives and similar repositories for em-gaussian
Users that are interested in em-gaussian are comparing it to the libraries listed below
Sorting:
- ☆40Updated 8 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆355Updated 8 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆248Updated last year
- Probabilistic Principal Component Analysis☆64Updated 8 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube☆146Updated 6 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆199Updated 7 months ago
- Variational Inference in Gaussian Mixture Model☆60Updated 4 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- Bayesian nonparametric machine learning for Python☆229Updated 2 years ago
- A Recurrent Neural Network Toolbox for Python and Matlab☆102Updated 5 years ago
- Scientific time series and deep learning state of the art☆282Updated 5 years ago
- ☆83Updated 8 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- ☆74Updated 6 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆265Updated 6 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago