psavine42 / fun-with-dnc
Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Computer) + some applications
☆19Updated 7 years ago
Alternatives and similar repositories for fun-with-dnc:
Users that are interested in fun-with-dnc are comparing it to the libraries listed below
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 7 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 2 years ago
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆43Updated 6 years ago
- Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"☆24Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆25Updated 6 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 5 years ago
- Differentiable Neural Computer in TensorFlow☆26Updated 8 years ago
- Systematic generalization test for CLEVR☆15Updated 5 years ago
- Cornell House Agent Learning Environment☆47Updated 2 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Updated 4 years ago
- Measuring compositionality in representation learning☆73Updated 5 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- Leaning hard attention model by policy gradient with rewards based on active inference.☆23Updated 7 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆94Updated 2 years ago
- Tensorflow Implementation of Programmable Agents☆35Updated 7 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 6 years ago
- Learning with latent language☆51Updated 4 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonw…☆102Updated 2 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago