xukai92 / darksightLinks
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
Sorting:
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆108Updated 11 months ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- ☆61Updated 2 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- An implementation of shampoo☆75Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 5 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 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 soft parameter sharing for neural networks☆70Updated 4 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- ☆72Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago