NVlabs / Bongard-LOGOLinks
Bongard-LOGO is a Python code repository with the purpose of generating synthetic Bongard problems on a large scale with little human intervention.
☆52Updated 3 years ago
Alternatives and similar repositories for Bongard-LOGO
Users that are interested in Bongard-LOGO are comparing it to the libraries listed below
Sorting:
- Measuring compositionality in representation learning☆73Updated 6 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 5 years ago
- Learning Perceptual Inference by Contrasting☆27Updated 3 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated 2 years ago
- PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019☆49Updated 5 years ago
- Self-supervised learning through the eyes of a child☆142Updated 3 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- Multi-object image datasets with ground-truth segmentation masks and generative factors.☆272Updated 3 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆59Updated 3 years ago
- PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]☆56Updated 3 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- Personal python toolbox.☆142Updated 4 months ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- ☆80Updated last year
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated 2 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆88Updated 2 years ago
- ☆54Updated 3 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Learning with latent language☆51Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 3 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆27Updated 4 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 4 years ago
- Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"☆104Updated last year
- Systematic generalization test for CLEVR☆15Updated 5 years ago
- Neural-Grammar-Symbolic Learning with Back-Search☆54Updated 11 months ago
- PyTorch implementation of ICLR 2020 paper "CLEVRER: CoLlision Events for Video REpresentation and Reasoning"☆121Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- [NeurIPS 2021 Spotlight] Learning to Compose Visual Relations☆101Updated 2 years ago