gaohuang / DenseNet_liteLinks
A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
☆29Updated 8 years ago
Alternatives and similar repositories for DenseNet_lite
Users that are interested in DenseNet_lite are comparing it to the libraries listed below
Sorting:
- Architecture learning for CNN's☆37Updated 8 years ago
- ☆33Updated 9 years ago
- ☆44Updated 7 years ago
- Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422☆21Updated 9 years ago
- an updated version of fb.resnet.torch with many changes.☆37Updated 8 years ago
- DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch☆29Updated 8 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- ☆16Updated 8 years ago
- Torch implementation of PixelCNN for MNIST☆29Updated 8 years ago
- [adversarial] examples and training cost☆19Updated 8 years ago
- ☆29Updated 8 years ago
- Fast-RCNN models in Torch-7 format☆18Updated 9 years ago
- DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows☆26Updated 8 years ago
- Implementation of state-of-art models in Torch☆54Updated 8 years ago
- Torch7 implementation of "Regularization of Neural Networks using DropConnect"☆30Updated 9 years ago
- Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875☆47Updated 8 years ago
- Implement Natural Language Object Retrieval in tensorflow☆35Updated 8 years ago
- Convolutional network training using Torch☆18Updated 8 years ago
- torch data augmentation toolbox (supports affine transform)☆54Updated 8 years ago
- Caffe: a fast open framework for deep learning.☆13Updated 8 years ago
- Multi-Residual Networks☆23Updated 8 years ago
- Torch bindings for FFmpeg (reading videos only)☆26Updated 8 years ago
- Load graphical Caffe networks in Torch☆26Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- An unofficial Torch implementation of InfoGAN☆19Updated 7 years ago
- Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…☆21Updated last year
- ☆29Updated 8 years ago
- ☆45Updated 8 years ago
- image encoder☆13Updated 8 years ago
- visualizing what ConvNets learn with camera☆89Updated 9 years ago