msmbuilder / vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
☆187Updated 3 years ago
Alternatives and similar repositories for vde
Users that are interested in vde are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆196Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 9 months ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆40Updated last year
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆90Updated 5 years ago
- Foundations and Applications☆96Updated 4 years ago
- ☆74Updated 6 years ago
- Bayesian optimization for Python☆245Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- A project to enable optimization of molecules by transforming them to and from a continuous representation.☆155Updated 8 years ago
- Multivariate time-series t-Distributed Stochastic Neighbor Embedding☆40Updated 8 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆184Updated 10 years ago
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆138Updated 2 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆198Updated 2 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆182Updated 3 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Probabilistic Principal Component Analysis☆62Updated 8 years ago
- ☆59Updated 6 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 9 months ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆29Updated 3 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆22Updated 6 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Change Point detection☆26Updated 6 years ago
- Structured Inference Networks for Nonlinear State Space Models☆270Updated 7 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago