neopenx / DragonLinks
Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
☆175Updated 7 years ago
Alternatives and similar repositories for Dragon
Users that are interested in Dragon are comparing it to the libraries listed below
Sorting:
- Caffe使用教程☆349Updated 9 years ago
- Awesome Caffe☆219Updated 5 years ago
- mobilenet-mxnet☆145Updated 7 years ago
- Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out bran…☆196Updated 5 years ago
- This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"☆158Updated 7 years ago
- C++ object detection module for mxnet-ssd☆96Updated 8 years ago
- Encapsulation C++ version of FasterRCNN☆187Updated 3 years ago
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆88Updated 8 years ago
- Deep fusion project of deeply-fused nets, and the study on the connection to ensembling☆228Updated 7 years ago
- A MXNet implementation of DenseNet(with BC structure)☆121Updated 7 years ago
- C++ interface for mxnet☆115Updated 8 years ago
- ☆46Updated 9 years ago
- Caffe branch for R-FCN☆173Updated 7 years ago
- Visualizing Deep Neural Network by Alternately Image Blurring and Deblurring☆107Updated 7 years ago
- A MXNet/Gluon implementation of MobileNetV2☆86Updated 7 years ago
- Caffe re-implementation of ShuffleNet☆106Updated 7 years ago
- efficient, flexible, distributed deep learning framework☆177Updated 4 years ago
- ☆48Updated 10 years ago
- SSD-based plate detection☆122Updated 7 years ago
- A deconvolutional network in caffe☆112Updated 8 years ago
- It's the script of Center loss on mnist dataset running on Caffe.☆53Updated 8 years ago
- Easily deploy multi-GPU caffe on Windows or Linux☆95Updated 7 years ago
- residual-SqueezeNet☆154Updated 6 years ago
- mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.☆177Updated 7 years ago
- ☆33Updated 8 years ago
- use caffe to training a deepid2 net with softmax and contrastive loss, adding identity2verify_layer to translate a single sample into pai…☆70Updated 8 years ago
- Caffe real-time data augmentation on-the-fly!!☆164Updated 9 years ago
- my simple tutorial for mxnet, a fast deep learning framework☆103Updated 6 years ago
- caffecn_master☆30Updated 8 years ago
- Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.☆373Updated 5 years ago