Learning parities with various neural network architectures
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Updated
Nov 8, 2023 - Python
Learning parities with various neural network architectures
Neural Turing Machines in pytorch
A tensorflow implement of Memory-Augmented Neural Network
A minimal implementation of NTM with detailed explanation
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
pytorch ntm python neural-network neural-turing-machines
A naive Neural Turing Machine for the copy task. In Tensorflow.
Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Neural Turing Machines (NTM) - PyTorch Implementation
Curriculum training a Differentiable Neural Computer using Population Based Training
Neural Turing Machine implementation in Torch
Neural Turing Machine in TensorFlow
What if you could make another You?
A basic implementation of DeepMind's first NTM
Implementation of Memory Augmented Networks in tensorflow.
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