ysharma1126 / Split-Brain-Autoencoder
Implemented Split-Brain Autoencoder by Zhang et al.
☆8Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Split-Brain-Autoencoder
- ☆34Updated 5 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆11Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Lifelong Variational Autoencoder☆14Updated 6 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 4 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- ☆13Updated 6 years ago
- Least Squares GANs in Tensorflow☆17Updated 7 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated last year
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Visualizing where the Convolution Network is looking through CAM.☆19Updated 6 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 2 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- a list of recent papers on transfer learning☆24Updated 6 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- A collection of Deep Learning papers I read, sorted by category.☆9Updated 6 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 4 years ago
- ☆19Updated 5 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 5 years ago
- Meta-SGD Algorithms Implementation☆21Updated 4 months ago
- Implementation of FixMatch in PyTorch and experimentations☆11Updated 4 years ago
- ☆23Updated 4 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 5 years ago
- Keras Implementation of SparseNets☆23Updated 6 years ago