kkleidal / GridLSTM-PyTorch
An implementation of the grid LSTM network for PyTorch
☆18Updated 6 years ago
Related projects: ⓘ
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 2 years ago
- ZCA whitening in python☆32Updated 5 years ago
- The source code for Temporal Attention-Gated Model.☆20Updated 7 years ago
- Residual Network of Residual Networks in Keras☆22Updated 7 years ago
- A Keras implementation of Adaptive Softmax☆7Updated 5 years ago
- ☆14Updated this week
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 5 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆21Updated last month
- Decoupled Learning for Conditional Adversarial Networks☆17Updated 5 years ago
- SRU implement in pytorch（Training RNNs as Fast as CNNs）☆42Updated last year
- Cost-Sensitive Support Vector Machines☆33Updated 8 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 5 years ago
- Dilated DenseNets☆15Updated 6 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- KERAS: Multimodal Deep Learning for Semantic Segmentation (RGB, NIR Streams) - multiple architectures☆11Updated 7 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆14Updated 7 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 6 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Least Squares GANs in Tensorflow☆17Updated 7 years ago
- Code for replicating results in 'On Weight Initializations in Deep Neural Networks'☆10Updated 7 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 2 months ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 6 years ago
- Factored Latent-Dynamic Conditional Random Fields for sequence labeling and prediction. FLDCRF outperforms LSTM across 6 experiments on 4…☆9Updated 4 years ago
- ☆19Updated 5 years ago
- Implementations of vanilla autoencoder, VAE, and GAN in Tensorflow☆17Updated 7 years ago