you68681 / GPAR
☆22Updated 11 months ago
Alternatives and similar repositories for GPAR:
Users that are interested in GPAR are comparing it to the libraries listed below
- Abstract Reasoning with Graph Abstractions (ARGA) implementation☆60Updated 8 months ago
- Language-annotated Abstraction and Reasoning Corpus☆83Updated last year
- Solving the Abstraction & Reasoning Corpus with DreamCoder☆41Updated 5 months ago
- ☆14Updated 3 weeks ago
- An MDL-based approach to the Abstraction and Reasoning Corpus (ARC) challenge☆16Updated 10 months ago
- PyTorch Implementation of the paper "Towards Learning Abductive Reasoning using VSA Distributed Representations".☆14Updated last week
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆31Updated 3 years ago
- Scaling scaling laws with board games.☆48Updated last year
- ☆31Updated 2 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- ☆20Updated 2 years ago
- [ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)☆20Updated 7 months ago
- ☆18Updated 2 weeks ago
- General Modules for JAX☆64Updated 3 weeks ago
- Implements the Messenger environment and EMMA model.☆23Updated last year
- ☆45Updated 2 years ago
- ☆23Updated last year
- ☆11Updated 10 months ago
- ☆53Updated 4 months ago
- ARC gym: a data generation framework for the Abstraction & Reasoning Corpus☆19Updated 2 months ago
- A programming language for formal/informal computation.☆41Updated last week
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- PyTorch Package For Quasimetric Learning☆41Updated 4 months ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆40Updated 2 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆23Updated last year
- ☆28Updated 2 years ago
- ☆29Updated last year
- We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…☆22Updated last year
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated last year