loudinthecloud / pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
☆590Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-ntm
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆338Updated 3 months ago
- TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)☆183Updated 4 years ago
- Tensorflow implementation of a Neural Turing Machine☆604Updated 3 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆278Updated 6 years ago
- Sequence-to-Sequence learning using PyTorch☆523Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆426Updated 7 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆312Updated 6 years ago
- Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)☆812Updated last year
- Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)☆496Updated 3 years ago
- Contrastive Learning of Structured World Models☆387Updated 4 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆297Updated 4 years ago
- Deep Reinforcement Learning with pytorch & visdom☆797Updated 4 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,593Updated 2 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 5 years ago
- Sequence to Sequence Models with PyTorch☆736Updated 2 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆525Updated 5 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆236Updated 5 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆539Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 6 months ago
- This repo contains the source code accompanying a scientific paper with the same name.☆368Updated 3 years ago
- Implementation for the Neural Logic Machines (NLM).☆283Updated 5 years ago
- Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.☆322Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆552Updated 6 years ago
- PyTorch implementation of recurrent batch normalization☆243Updated 6 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆994Updated last year
- Dataset to assess the disentanglement properties of unsupervised learning methods☆483Updated 3 years ago
- PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349☆587Updated 3 months ago
- tutorial notebooks☆385Updated 6 years ago
- Pytorch implementation of Hinton's Dynamic Routing Between Capsules☆632Updated 6 years ago
- Recurrent Variational Autoencoder that generates sequential data implemented with pytorch☆357Updated 7 years ago