memn2n
by domluna
End-To-End Memory Network using Tensorflow
AI summary
Memory Network
An implementation of End-To-End Memory Networks with a TensorFlow interface using the bAbI dataset for natural language processing tasks.
- stars
- 342
- forks
- 134
- watching
- 18
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Network libraries
A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows.
Mobile CNN
An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power.
Graph neural network library
An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.
Neural network architecture
An implementation of a pursuit of structural diversity in very deep neural networks
tensorflow/gnn1.4K
Graph Network Library
Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.
Segmentation network
An implementation of a fully convolutional network architecture for image segmentation using VGG weights.
Segmentation network
An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend.
DCN model
An implementation of Dynamic Capacity Networks using Tensorflow for image classification on the Cluttered MNIST dataset
Memory models
Differentiable memory schemes for neural networks
FCN
A basic implementation of a fully convolutional network (FCN) for image segmentation in TensorFlow.
Neural network architecture
Represents a neural network architecture with 1K layers, designed for image recognition tasks.
Deep neural network library
A C++ library implementing deep neural networks with good performance and modularity
Neural network
An implementation of a deep neural network architecture in TensorFlow
fyu/drn1.1K
Image classification network
An open-source implementation of dilated residual networks for image classification and segmentation tasks.
Neural Network App
A MATLAB implementation of a neural network interface for regression and classification tasks
Featured in 1 awesome list
Each link jumps to the spot where the list mentions memn2n.
