loudinthecloud / pytorch-ntmLinks
Neural Turing Machines (NTM) - PyTorch Implementation
☆602Updated 7 years ago
Alternatives and similar repositories for pytorch-ntm
Users that are interested in pytorch-ntm are comparing it to the libraries listed below
Sorting:
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆347Updated last month
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆584Updated 7 years ago
- Tensorflow implementation of a Neural Turing Machine☆610Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)☆818Updated 3 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆247Updated 7 years ago
- TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)☆184Updated 5 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆305Updated 5 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆317Updated 7 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆203Updated 3 years ago
- PyTorch implementation of recurrent batch normalization☆243Updated 7 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆521Updated 5 years ago
- tutorial notebooks☆392Updated 7 years ago
- Implementation for the Neural Logic Machines (NLM).☆293Updated 6 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆495Updated 4 years ago
- PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).☆449Updated 5 years ago
- Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)☆511Updated 4 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,027Updated 2 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆362Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Updated 6 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,010Updated 4 years ago
- Sequence-to-Sequence learning using PyTorch☆521Updated 6 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆424Updated 3 years ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆473Updated 6 years ago
- Contrastive Learning of Structured World Models☆396Updated 5 years ago