rfeinman / GNS-ModelingLinks
Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
☆27Updated 4 years ago
Alternatives and similar repositories for GNS-Modeling
Users that are interested in GNS-Modeling are comparing it to the libraries listed below
Sorting:
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 4 years ago
- Learning Perceptual Inference by Contrasting☆27Updated 3 years ago
- ☆10Updated 4 years ago
- ☆54Updated 3 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- Neural-Grammar-Symbolic Learning with Back-Search☆54Updated last year
- Systematic generalization test for CLEVR☆15Updated 5 years ago
- ☆80Updated last year
- Phy-Q: A Testbed for Physical Reasoning☆45Updated last year
- BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020☆26Updated 5 years ago
- Code for 'Emergent Symbols through Binding in External Memory'.☆21Updated 2 years ago
- ☆13Updated 6 years ago
- Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"☆37Updated 2 years ago
- Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution☆26Updated 4 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Updated last year
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated 2 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Reward Learning by Simulating the Past☆45Updated 6 years ago
- Self-attentive Associative Memory & SAM-based Two-Memory Model☆57Updated 3 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".☆30Updated 5 years ago
- EfficientMORL (ICML'21)☆21Updated 3 years ago
- Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning☆12Updated 3 years ago