mfigurnov / perforated-cnn-caffeLinks
☆30Updated 8 years ago
Alternatives and similar repositories for perforated-cnn-caffe
Users that are interested in perforated-cnn-caffe are comparing it to the libraries listed below
Sorting:
- ☆10Updated 8 years ago
- ☆23Updated 9 years ago
- Full convolution MultiBox Detector ( like SSD) implemented in Torch.☆40Updated 8 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Updated 8 years ago
- Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization☆62Updated 6 years ago
- ☆57Updated 7 years ago
- The inception-resnet-v2 models re-trained from scratch via torch☆52Updated 6 years ago
- Fast and easy testing of imagenet models☆49Updated 9 years ago
- ☆45Updated 8 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 7 years ago
- ☆16Updated 8 years ago
- Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree☆27Updated 9 years ago
- A Siamese network implementation in torch (simple example on MNIST to embed to 2D space)☆23Updated 9 years ago
- visualizing what ConvNets learn with camera☆89Updated 9 years ago
- Load graphical Caffe networks in Torch☆26Updated 8 years ago
- An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)☆43Updated 4 years ago
- ☆26Updated 9 years ago
- Training code to reproduce FaceNet☆22Updated 9 years ago
- Caffe: a fast open framework for deep learning.☆13Updated 8 years ago
- Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422☆21Updated 9 years ago
- Practices for machine learning☆27Updated 9 years ago
- torch data augmentation toolbox (supports affine transform)☆54Updated 8 years ago
- Implementation of Deep Residual Learning / Residual Network for MSR paper http://arxiv.org/abs/1512.03385☆37Updated 9 years ago
- Caffe fork that supports training with weighted samples http://caffe.berkeleyvision.org/☆22Updated 9 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 9 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Code for SDS☆59Updated 9 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 8 years ago
- A Caffe implementation of http://arxiv.org/abs/1512.07928☆39Updated 8 years ago
- Dynamic Capacity Networks using Tensorflow☆52Updated 8 years ago