gan3sh500 / revrnnLinks
Reversible Recurrent Neural Network Pytorch Implementation
☆21Updated 7 years ago
Alternatives and similar repositories for revrnn
Users that are interested in revrnn are comparing it to the libraries listed below
Sorting:
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 7 years ago
- ☆19Updated 6 years ago
- Augmentation scripts for the bAbI Dialog Tasks dataset☆13Updated 7 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- A Keras inspired training utility for PyTorch☆38Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Implementation in pytorch of SR-NMT https://arxiv.org/abs/1805.04185v1☆26Updated 7 years ago
- ZCA whitening in python☆32Updated 6 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 7 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 8 years ago
- Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)☆31Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- We propose a new variant GAN model to deal with image generation and transformation,especially in facial attributes area.☆12Updated 7 years ago
- Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules☆45Updated 7 years ago
- An attempt at a PyTorch Implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning by Shocher et al. CVPR 2018☆14Updated 7 years ago
- PyTorch study☆14Updated 8 years ago
- Source code for "Training Generative Adversarial Networks Via Turing Test".☆13Updated 5 years ago
- List of papers that applied graph network to NLP☆13Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for under…☆10Updated 2 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago