google-deepmind / abstract-reasoning-matrices
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018
☆178Updated 6 years ago
Alternatives and similar repositories for abstract-reasoning-matrices
Users that are interested in abstract-reasoning-matrices are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated last year
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆131Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆94Updated 2 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 4 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 7 years ago
- ☆60Updated 4 years ago
- Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017☆271Updated 4 years ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆340Updated 2 months ago
- Learning with latent language☆51Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 2 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- AI-ON Consciousness Prior☆91Updated 7 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
- Annotated bibliographies.☆40Updated 5 years ago
- ICLR Reproducibility Challenge 2019☆218Updated 5 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆87Updated 4 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Multi-object image datasets with ground-truth segmentation masks and generative factors.☆268Updated 3 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Neural-symbolic visual question answering☆263Updated 2 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 3 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 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