jcjohnson / tiny-imagenetLinks
☆39Updated 9 years ago
Alternatives and similar repositories for tiny-imagenet
Users that are interested in tiny-imagenet are comparing it to the libraries listed below
Sorting:
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 8 years ago
- ☆63Updated 8 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆146Updated 5 years ago
- Weight initialisation schemes for Torch7 neural network modules☆100Updated 7 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 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
- Numpy format for Torch☆68Updated 8 years ago
- [adversarial] examples and training cost☆19Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- Exploring the Space of Adversarial Images☆69Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 7 years ago
- Image annotation UIs (good for AMT tasks)☆20Updated 9 years ago
- ☆78Updated 9 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".☆29Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 6 years ago
- ☆38Updated 8 years ago
- Convolutional network training using Torch☆18Updated 8 years ago
- Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422☆21Updated 9 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- ☆28Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆66Updated 7 years ago