xukai92 / darksight
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
☆35Updated 3 years ago
Alternatives and similar repositories for darksight:
Users that are interested in darksight are comparing it to the libraries listed below
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- An implementation of shampoo☆74Updated 6 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- ☆58Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆47Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- Some extra features for pytorch.☆50Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- ☆34Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- 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
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 7 years ago
- ☆61Updated last year
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- ☆45Updated 7 years ago
- Prunable nn layers for pytorch.☆48Updated 6 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago