vcnn_double-bladed
CNN engine
A GPU-enabled vectorized implementation of CNNs for computer vision tasks
Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.
136 stars
19 watching
121 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
hagaygarty/mdcnn | A 3D convolutional neural network framework supporting volumetric inputs and various features like dropout and batch normalization. | 52 |
pengsun/matlabcnn | A Matlab implementation of a 2D Convolutional Neural Network for educational purposes | 47 |
mdeff/cnn_graph | An implementation of convolutional neural networks on graphs using spectral filtering | 1,339 |
guanghan/darknet | An implementation of a neural network framework for computer vision tasks, supporting both CPU and GPU computation. | 243 |
filipradenovic/cnnimageretrieval | This MATLAB toolbox trains and tests convolutional neural networks for image retrieval tasks, including fine-tuning and supervised whitening. | 189 |
vlfeat/matconvnet | A MATLAB toolbox implementing Convolutional Neural Networks for computer vision applications. | 1,402 |
zcemycl/matlab-gan | A collection of MATLAB implementations for Generative Adversarial Networks (GANs) and related deep learning techniques | 186 |
infocusp/tf_cnnvis | A tool to visually analyze and understand deep learning models' internal workings, specifically convolutional neural networks. | 780 |
xuzhenqi/cnn | Provides an implementation of convolutional neural networks in MATLAB. | 95 |
modern-fortran/neural-fortran | A parallel framework for building neural networks in Fortran | 406 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
yechengxi/lightnet | A Matlab-based framework for building and training deep learning models | 270 |
taolei87/rcnn | An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
fomorians/highway-cnn | A deep learning framework for training highway networks on image data using convolutional neural networks | 57 |
ahmedfgad/numpycnn | An implementation of a convolutional neural network (CNN) using NumPy for basic classification tasks. | 570 |