bmsookim / wide-residual-network
Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
☆37Updated 8 years ago
Alternatives and similar repositories for wide-residual-network
Users that are interested in wide-residual-network are comparing it to the libraries listed below
Sorting:
- Torch implementation of PixelCNN for MNIST☆29Updated 8 years ago
- ☆44Updated 7 years ago
- ☆29Updated 8 years ago
- Torch7 implementation of "Regularization of Neural Networks using DropConnect"☆30Updated 9 years ago
- A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".☆29Updated 8 years ago
- ☆20Updated 8 years ago
- Dynamic Capacity Networks using Tensorflow☆52Updated 8 years ago
- Implement Natural Language Object Retrieval in tensorflow☆35Updated 8 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- ☆10Updated 8 years ago
- ☆29Updated 7 years ago
- ☆16Updated 8 years ago
- an updated version of fb.resnet.torch with many changes.☆37Updated 8 years ago
- ☆45Updated 8 years ago
- Compact Bilinear Pooling (https://arxiv.org/abs/1511.06062) for TensorFlow☆46Updated 5 years ago
- ☆33Updated 8 years ago
- Multi-Residual Networks☆23Updated 8 years ago
- Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422☆21Updated 8 years ago
- Convolutional network training using Torch☆18Updated 8 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
- ☆10Updated 9 years ago
- ☆53Updated 8 years ago
- "Efficient end-to-end learning for quantizable representations" accepted at ICML2018☆66Updated 6 years ago
- 2016 ActivityNet action recognition challenge. CNN + LSTM approach. Multi-threaded loading.☆53Updated 8 years ago
- ☆30Updated 8 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 8 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- ☆15Updated 10 years ago
- 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