marvin

ConvNet framework

A minimalistic GPU-only framework for building N-dimensional ConvNet neural networks

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

GitHub

421 stars
44 watching
137 forks
Language: C++
last commit: almost 7 years ago

Related projects:

Repository Description Stars
xuzhenqi/cnn Provides an implementation of convolutional neural networks in MATLAB. 98
jimmy-ren/vcnn_double-bladed An implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing tasks. 136
ahmedfgad/numpycnn A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch 577
marvinteichmann/convcrf An implementation of a convolutional Conditional Random Field model for semantic segmentation tasks. 564
vlfeat/matconvnet A MATLAB toolbox implementing Convolutional Neural Networks for computer vision applications. 1,403
hannes-brt/hebel A Python library for building and training neural networks using GPU acceleration 1,169
torontodeeplearning/convnet A high-performance GPU implementation of neural networks using C++ 507
hagaygarty/mdcnn A MATLAB toolbox implementing 3D Convolutional Neural Networks for volumetric inputs with various features and pre-configured examples. 53
donnyyou/pytorchcv A PyTorch-based framework for building and training deep learning models in computer vision. 47
tobypde/frrn A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks 280
jihongju/keras-fcn A library implementing a Fully Convolutional Network architecture with Keras support 202
marvinteichmann/tensorflow-fcn An implementation of a fully convolutional network architecture for image segmentation using VGG weights. 1,102
mmlab-cu/polynet An implementation of a pursuit of structural diversity in very deep neural networks 82
eladhoffer/convnet.pytorch A PyTorch implementation of various deep convolutional networks for efficient training and evaluation on diverse datasets. 347
d-li14/psconv A deep learning framework module implementing a compact multi-scale convolutional layer for feature extraction in object detection models. 174