ravidziv / Information-bottleneckLinks
Python implementation of the infomration bottleneck method (tishby et al, 1999)
☆36Updated 8 years ago
Alternatives and similar repositories for Information-bottleneck
Users that are interested in Information-bottleneck are comparing it to the libraries listed below
Sorting:
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Proceedings of ICML 2018☆39Updated last month
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- ☆79Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- ☆46Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 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
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- ☆62Updated 9 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 8 years ago