pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
AI summary
NTM implementation
An implementation of Neural Turing Machines in PyTorch
- stars
- 592
- forks
- 128
- watching
- 13
Similar projects
Found by comparing what the projects do, not just their names.
Neural computer
An implementation of the Differentiable Neural Computer architecture in PyTorch
Neural computer framework
An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks.
Noise mask neural network
A PyTorch implementation of a neural network architecture that modifies the input to its layers by applying noise masks.
Neural network library
A Nim frontend for PyTorch, generating native ATen code for machine learning and artificial neural networks
Tree network model
An implementation of Tree-LSTM networks in PyTorch for semantic similarity tasks using tree structures
NMN
A PyTorch implementation of Neural Module Networks for Visual Question Answering
Language model
An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling
NTM impl
An implementation of Neural Turing Machine in TensorFlow using an LSTM controller.
Memory models
Differentiable memory schemes for neural networks
PyTorch NLP tutorial
A comprehensive Python tutorial and codebase for building natural language processing applications with PyTorch.
NMT library
A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Language Model
Trains a large-scale PyTorch language model on the 1-Billion Word dataset
PyTorch tutorial repository
A collection of scripts demonstrating PyTorch's capabilities in natural language processing and machine learning tasks
Deep learning model
An implementation of a deep learning model using PyTorch and depthwise separable convolutions for image classification
