dnc

NNA architecture

An implementation of a neural network architecture designed to efficiently process sequential data with dynamic external memory

A TensorFlow implementation of the Differentiable Neural Computer.

GitHub

3k stars
165 watching
442 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
jingweiz/pytorch-dnc An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. 278
ixaxaar/pytorch-dnc An implementation of Differentiable Neural Computers and family for PyTorch, enabling scalable memory-augmented neural networks. 338
google-deepmind/deepmind-research Provides implementations and illustrative code to accompany DeepMind research publications 13,329
google-deepmind/sonnet A simple, composable neural network library built on top of TensorFlow 2. 9,790
google-deepmind/dm_control A software stack for simulating physics-based environments and training reinforcement learning agents 3,849
nlintz/tensorflow-tutorials A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks 6,003
google-deepmind/graph_nets Builds graph networks in TensorFlow using a library provided by DeepMind's AI research organization. 5,370
doonny/pipecnn A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design 1,264
conan7882/googlenet-inception An implementation of a deep neural network architecture for image classification using pre-trained models and fine-tuning on the CIFAR-10 dataset. 285
mg2033/shufflenet An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power. 383
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,372
ypxie/pytorch-neucom An implementation of the Differentiable Neural Computer architecture in PyTorch 94
deepakkumar1984/mxnet.sharp A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework 149
doctorteeth/diffmem Differentiable memory schemes for neural networks 220
devsisters/dqn-tensorflow An implementation of a deep reinforcement learning algorithm for human-level control in game environments using TensorFlow. 2,491