msmbuilder / vde

Related projects ⓘ

Alternatives and complementary repositories for vde

• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆190Updated last year
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 5 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆89Updated 4 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆247Updated 3 months ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆127Updated last year
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆66Updated 3 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆240Updated 2 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 6 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆232Updated 3 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆265Updated 7 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆187Updated last year
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆59Updated 7 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆91Updated 4 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆129Updated 5 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆173Updated 6 years ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆88Updated 3 months ago
• probabilistic-learning / HI-VAE
  ☆87Updated last year
• minhnguyen-cs / mtsne
  Multivariate time-series t-Distributed Stochastic Neighbor Embedding
  ☆40Updated 7 years ago
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆181Updated 3 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated last year
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆182Updated 5 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆131Updated 3 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆459Updated last year
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆226Updated 5 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆109Updated 5 years ago
• davidhallac / TVGL
  ☆53Updated 7 years ago
• cics-nd / gptorch
  Gaussian processes with PyTorch
  ☆30Updated 3 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆68Updated 5 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆95Updated 7 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆46Updated last year