Alternatives and similar repositories for multimodal-dmm:

Users that are interested in multimodal-dmm are comparing it to the libraries listed below

• geifmany / selectivenet
  code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
  ☆46Updated 5 years ago
• guxd / deepHMM
  A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]
  ☆56Updated 8 months ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆40Updated 4 years ago
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆33Updated 3 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• jayheo / UA
  ☆24Updated 5 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• gr8joo / MVTCAE
  ☆15Updated 3 years ago
• pa-dqn / VariationalContinualLearning
  ☆10Updated 6 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆68Updated 4 years ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• jiajiatang0000 / HPFN
  Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
  ☆27Updated 5 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• KurochkinAlexey / SOM-VAE
  Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf
  ☆32Updated 5 years ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆22Updated 6 years ago
• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆25Updated 4 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago
• choltz95 / MTGP-NN
  Early sepsis detection w/ multitask gaussian process neural network
  ☆15Updated 5 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆23Updated 5 years ago
• henrikmarklund / arm
  ☆82Updated last year
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆42Updated 2 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• TropComplique / set-transformer
  A neural network architecture for prediction on sets
  ☆22Updated 2 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆14Updated 5 years ago
• mhw32 / meta-inference-public
  A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
  ☆14Updated 5 years ago
• alistairewj / challenge2012
  Python code parsing data from PhysioNet Challenge 2012
  ☆21Updated 6 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago