ixaxaar / pytorch-dnc
Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
☆340Updated last month
Alternatives and similar repositories for pytorch-dnc:
Users that are interested in pytorch-dnc are comparing it to the libraries listed below
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- Neural Turing Machines (NTM) - PyTorch Implementation☆596Updated 6 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆94Updated 2 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆237Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆189Updated 2 years ago
- Velocity in deep-learning research☆277Updated 2 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆375Updated 2 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 5 years ago
- TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)☆183Updated 5 years ago
- Guided Evolutionary Strategies☆270Updated 2 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- Neural Turing Machines in Pytorch.☆46Updated 6 years ago
- ☆133Updated 7 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆118Updated 7 years ago
- ☆219Updated 6 years ago
- Adaptive Computation Time algorithm in Tensorflow☆256Updated 8 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Easy TensorFlow logging for quick prototypes☆110Updated 3 years ago
- Tensorflow implementation of a Neural Turing Machine☆610Updated 3 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Measuring compositionality in representation learning☆73Updated 5 years ago
- Tools for PyTorch☆221Updated 2 years ago
- Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillic…☆178Updated 6 years ago
- Implementation for the Neural Logic Machines (NLM).☆284Updated 5 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago