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:
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆188Updated last year
- 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
- ☆72Updated 5 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- ☆61Updated 2 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 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"☆145Updated 8 years ago
- Implementation of Virtual adversarial training with chainer☆40Updated 7 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 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
- ☆113Updated 2 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago