mxbi / dreamcoder-arcLinks
Solving the Abstraction & Reasoning Corpus with DreamCoder
☆52Updated last year
Alternatives and similar repositories for dreamcoder-arc
Users that are interested in dreamcoder-arc are comparing it to the libraries listed below
Sorting:
- Abstract Reasoning with Graph Abstractions (ARGA) implementation☆61Updated last year
- Materials for ConceptARC paper☆103Updated 11 months ago
- Latent Program Network (from the "Searching Latent Program Spaces" paper)☆98Updated 6 months ago
- A Gymnasium-based Environment of the Abstraction and Reasoning Corpus (ARC)☆68Updated last year
- ☆23Updated last year
- ARLC, a probabilistic abductive reasoner for solving Raven's progressive matrices.☆19Updated 2 weeks ago
- ☆30Updated 7 months ago
- Bootstrapping ARC☆142Updated 10 months ago
- Language-annotated Abstraction and Reasoning Corpus☆93Updated 2 years ago
- ☆27Updated last year
- ☆34Updated last year
- ☆52Updated last year
- ☆187Updated last month
- The Energy Transformer block, in JAX☆59Updated last year
- OMNI: Open-endedness via Models of human Notions of Interestingness☆57Updated 8 months ago
- Tools for working with the Abstraction & Reasoning Corpus☆208Updated last month
- Dataset and benchmark for assessing LLMs in translating natural language descriptions of planning problems into PDDL☆58Updated 11 months ago
- ☆72Updated 3 years ago
- ☆17Updated 2 months ago
- Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge☆160Updated 2 months ago
- Interpreting how transformers simulate agents performing RL tasks☆88Updated last year
- ☆29Updated last year
- Domain Specific Language for the Abstraction and Reasoning Corpus☆299Updated 11 months ago
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆108Updated last year
- A reinforcement learning environment for the IGLU 2022 at NeurIPS☆34Updated 2 years ago
- ☆28Updated 2 years ago
- ☆127Updated last year
- Multiple datasets for ARC (Abstraction and Reasoning Corpus)☆81Updated 6 months ago
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).☆68Updated 9 months ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆49Updated last week