xukai92 / darksight
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
☆35Updated 4 years ago
Alternatives and similar repositories for darksight:
Users that are interested in darksight are comparing it to the libraries listed below
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 7 years ago
- ☆34Updated 6 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- ☆61Updated 2 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- ☆45Updated 8 years ago
- ☆29Updated 7 years ago
- Some extra features for pytorch.☆50Updated 8 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 6 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- ☆13Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- ☆16Updated 7 years ago
- ☆57Updated 7 years ago