A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
☆167Aug 17, 2018Updated 7 years ago
Alternatives and similar repositories for multimodal-vae-public
Users that are interested in multimodal-vae-public are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multimodal Mixture-of-Experts VAE☆225Jul 6, 2023Updated 2 years ago
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆42Nov 12, 2022Updated 3 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Nov 12, 2022Updated 3 years ago
- Multimodal Variational Auto-encoder based Audio-Visual Segmentation [ICCV2023].☆20Sep 19, 2024Updated last year
- A PyTorch implementation of Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series (https://arxiv.org/abs/1905.…☆23Dec 8, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICLR 2019] Learning Factorized Multimodal Representations☆69Aug 4, 2020Updated 5 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- Code for comparison of multimodal VAE models☆33May 19, 2025Updated 11 months ago
- Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data☆13Apr 22, 2021Updated 5 years ago
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆30Jul 16, 2021Updated 4 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Mar 18, 2022Updated 4 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 5 years ago
- ☆17Mar 21, 2017Updated 9 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities☆73Nov 9, 2022Updated 3 years ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Oct 22, 2017Updated 8 years ago
- The source code for "Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts"☆15Nov 24, 2020Updated 5 years ago
- ☆17Apr 29, 2025Updated last year
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24May 11, 2021Updated 4 years ago
- An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.☆12Mar 5, 2018Updated 8 years ago
- Federated Learning of Diffusion Models☆12Aug 30, 2023Updated 2 years ago
- UGaitNet: Multimodal gait recognition with missing input modalities☆13May 24, 2022Updated 3 years ago
- ☆14Apr 9, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Python code for "Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases"☆10Oct 3, 2022Updated 3 years ago
- Reading list for research topics in multimodal machine learning☆6,863Aug 20, 2024Updated last year
- ☆19Apr 15, 2022Updated 4 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆305May 31, 2020Updated 5 years ago
- This is the dataset generation code for ADEPT (Approximate Derenderer, Extended Physics, and Tracking). http://physadept.csail.mit.edu/☆15Sep 26, 2022Updated 3 years ago
- Implementation of Implicit Graphon Neural Representation☆14Sep 1, 2023Updated 2 years ago
- A deep generative model library in Theano and Lasagne☆64Nov 11, 2018Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Sep 19, 2017Updated 8 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆13Feb 9, 2023Updated 3 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Apr 2, 2019Updated 7 years ago
- ☆10Jun 14, 2022Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆840Feb 2, 2023Updated 3 years ago
- Various Latent Variable Models implementations in Pytorch, including VAE, VAE with AF Prior, VQ-VAE and VQ-VAE with Gated PixelCNN☆20May 24, 2020Updated 5 years ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆89Mar 20, 2019Updated 7 years ago