freesouls / Deep-Residual-Network-For-MXNetLinks
a Deep Residual Network Example for MXNet on cifar10 dataset
☆20Updated 9 years ago
Alternatives and similar repositories for Deep-Residual-Network-For-MXNet
Users that are interested in Deep-Residual-Network-For-MXNet are comparing it to the libraries listed below
Sorting:
- ☆45Updated 8 years ago
- a mxnet multi-task tutorial☆33Updated 9 years ago
- Full convolution MultiBox Detector ( like SSD) implemented in Torch.☆40Updated 8 years ago
- Code to convert a MXNet model into Caffe (C++)☆53Updated 8 years ago
- Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.☆36Updated 8 years ago
- detection-developing☆20Updated 10 years ago
- Training the inception resnet v2 architecture in caffe☆44Updated 8 years ago
- ☆48Updated 10 years ago
- some new implementation of caffe☆24Updated 8 years ago
- The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP20…☆64Updated 9 years ago
- Codes for CVPR2016 paper "CRAFT Objects from Images"☆49Updated 9 years ago
- auto-tuning momentum SGD optimizer☆23Updated 8 years ago
- ☆29Updated 8 years ago
- First step towards...☆33Updated 9 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Updated 8 years ago
- mobilenet-mxnet☆145Updated 7 years ago
- Deep residual learning on CIFAR10 with TensorFlow☆63Updated 9 years ago
- Translating Torch model to other framework such as Caffe, MxNet ...☆22Updated 8 years ago
- Implement of 'Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues' by Ning Zhang, et al☆24Updated 9 years ago
- Caffe fork that supports training with weighted samples http://caffe.berkeleyvision.org/☆22Updated 9 years ago
- A MXNet implementation of DenseNet(with BC structure)☆121Updated 7 years ago
- Batch Normalization Layer for Caffe☆35Updated 9 years ago
- For my own use BVLC/caffe helper tools☆24Updated 9 years ago
- a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.☆33Updated 9 years ago
- Object detection via a multi-region & semantic segmentation-aware CNN model☆113Updated 9 years ago
- The classical Papers and codes about adversarial nets☆36Updated 8 years ago
- training wide residual networks in caffe☆19Updated 8 years ago
- FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)☆68Updated 7 years ago
- ☆36Updated 10 years ago
- Pre-trained models for MixDCNN paper☆36Updated 7 years ago