hovinh / DeCNN
This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.
☆24Updated 2 years ago
Alternatives and similar repositories for DeCNN:
Users that are interested in DeCNN are comparing it to the libraries listed below
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Extension of the `Attention Augmented Convolutional Networks` paper for 1-D convolution operation.☆25Updated 5 years ago
- Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)☆54Updated 5 years ago
- Autoencoder model for rare event classification☆105Updated 5 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆32Updated 7 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 8 months ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆126Updated 5 years ago
- Multiple-Instance Learning Python Toolbox☆19Updated 8 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆29Updated 3 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 5 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- ☆100Updated 7 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆71Updated 6 years ago
- Implementations of some popular Saliency Maps in Keras☆166Updated 5 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
- Generalized Canonical Correlation Analysis☆50Updated 7 years ago
- Code for "Revisiting classifier two-sample tests" (ICLR 2017).☆20Updated 7 years ago
- PyTorch implementation of Deep Survival Models.☆18Updated 7 years ago
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆26Updated 7 years ago
- Graph saliency maps through spectral convolutional networks for brain mapping☆32Updated 6 years ago
- Automatic channel selection for seizure detection☆11Updated last year
- Autoencoders in Keras☆126Updated 7 years ago
- ☆24Updated 9 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Keras implementation of GradCAM.☆115Updated 5 years ago