insdout / GMVAE-pytorchLinks
Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE
☆19Updated 11 months ago
Alternatives and similar repositories for GMVAE-pytorch
Users that are interested in GMVAE-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆339Updated 4 years ago
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆38Updated last year
- Code implementations of TimeAutoDiff☆21Updated 7 months ago
- Official codes for "Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series" (TPAMI 2025)☆11Updated 2 months ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- VAE-pytorch模型，可以在一维时间序列上训练并生成新的data☆20Updated last year
- Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".☆10Updated 3 years ago
- Source codes for the paper "Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Mod…☆50Updated 6 months ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆50Updated last year
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆62Updated 5 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆141Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆28Updated 3 years ago
- ☆89Updated 3 years ago
- ☆22Updated last month
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Updated 3 years ago
- Convolutional Variational Autoencoder for classification and generation of time-series☆43Updated 5 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆27Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆18Updated last year
- ☆27Updated 2 years ago
- The source code for "Deep transfer learning for conditional shift in regression"☆19Updated 3 years ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆53Updated 4 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆10Updated last year
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆24Updated last year
- An awesome list of papers on remaining useful life (RUL) prediction from arXiv☆11Updated 2 months ago
- ☆33Updated last year
- Outlier detection data sets; Datasets; MREOD☆25Updated 8 months ago
- ☆27Updated 4 years ago