HazyResearch / tanda
Learning to Compose Domain-Specific Transformations for Data Augmentation
☆172Updated 2 years ago
Alternatives and similar repositories for tanda:
Users that are interested in tanda are comparing it to the libraries listed below
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- Interpreting Deep Classifier by Visual Distillation of Dark Knowledge☆35Updated 3 years ago
- ☆72Updated 4 years ago
- ☆219Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- auto-tuning momentum SGD optimizer☆287Updated 5 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
- ☆36Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆147Updated 7 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Updated 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"☆138Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 7 years ago
- ☆68Updated 7 years ago
- Reference caffe implementation of LSUV initialization☆112Updated 7 years ago
- ☆112Updated last year
- DeepArchitect: Automatically Designing and Training Deep Architectures☆143Updated 5 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- Sparse and structured neural attention mechanisms☆222Updated 4 years ago
- Implementation of Virtual adversarial training with chainer☆40Updated 7 years ago
- ☆251Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆108Updated 6 months ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆190Updated 7 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- DrMAD☆107Updated 7 years ago