avijit9 / Contractive_Autoencoder_in_PytorchLinks
Pytorch implementation of contractive autoencoder on MNIST dataset
☆53Updated 7 years ago
Alternatives and similar repositories for Contractive_Autoencoder_in_Pytorch
Users that are interested in Contractive_Autoencoder_in_Pytorch are comparing it to the libraries listed below
Sorting:
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆85Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- Deep Transfer Learning Papers☆81Updated 3 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆48Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 8 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆25Updated 3 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago