Autoencoders in PyTorch
☆102Sep 24, 2019Updated 6 years ago
Alternatives and similar repositories for pytorch-AutoEncoders
Users that are interested in pytorch-AutoEncoders are comparing it to the libraries listed below
Sorting:
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Apr 7, 2020Updated 5 years ago
- ☆14Oct 3, 2021Updated 4 years ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆22May 17, 2024Updated last year
- ☆10Apr 9, 2021Updated 4 years ago
- Variance discrepancy representation☆15May 25, 2024Updated last year
- 个人练习，自编码器及其变形（理论+实践）☆345May 18, 2019Updated 6 years ago
- X. Wang, Y. Zhong, C. Cui, L. Zhang and Y. Xu, "Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hypersp…☆13Jun 28, 2021Updated 4 years ago
- Multi-view Broad Learning Systerm☆10Mar 20, 2022Updated 4 years ago
- Hyperspectral Anomaly Detection☆15Apr 3, 2021Updated 4 years ago
- ☆17Sep 12, 2025Updated 6 months ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Sep 7, 2018Updated 7 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆15Dec 19, 2023Updated 2 years ago
- improved by ACWGAN-gp☆10Feb 18, 2020Updated 6 years ago
- PyTorch implementation of sparse autoencoder.☆42Nov 3, 2019Updated 6 years ago
- New GAN models in dataset of CWRU☆45Mar 19, 2022Updated 4 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆23Mar 14, 2026Updated last week
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆24Jun 4, 2023Updated 2 years ago
- ☆10May 19, 2018Updated 7 years ago
- Code of Paper : "Feature-Fused SSD: Fast Detection for Small Objects"☆30Nov 27, 2018Updated 7 years ago
- Q. Zhang, Q. Yuan, J. Li, X. Liu, H. Shen, and L. Zhang, "Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient…☆19May 19, 2020Updated 5 years ago
- NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tr…☆26Feb 22, 2021Updated 5 years ago
- a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background te…☆27Dec 30, 2021Updated 4 years ago
- Stacked Denoising AutoEncoder☆80Nov 22, 2019Updated 6 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆56Aug 18, 2023Updated 2 years ago
- for my thesis work☆18May 1, 2021Updated 4 years ago
- Sparse Unmixing Using Unsupervised Convolutional Neural Network☆10Jun 2, 2024Updated last year
- ☆10Sep 25, 2019Updated 6 years ago
- PyTorch-1D-ACGAN for data generation. It can also work as classfier☆21May 4, 2021Updated 4 years ago
- Re-Implementation of Gaussian Process Latent Variable Model algorithm & performance assessment against Kernel-PCA☆14Oct 9, 2024Updated last year
- Implementation in PyTorch of the neural network presented in Mode-Adaptive Neural Networks for Quadruped Motion Control☆15Feb 17, 2020Updated 6 years ago
- [TMM 2025] Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression☆16Mar 28, 2025Updated 11 months ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆136Aug 27, 2023Updated 2 years ago
- ☆72Jan 17, 2021Updated 5 years ago
- ☆12Oct 25, 2018Updated 7 years ago
- project GCN-VAE for knowledge graphs☆16Aug 27, 2020Updated 5 years ago
- ☆13May 13, 2023Updated 2 years ago
- ☆66Sep 24, 2020Updated 5 years ago
- Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"☆20Dec 16, 2022Updated 3 years ago