Grounded SCAN data set.
☆70Jan 10, 2022Updated 4 years ago
Alternatives and similar repositories for groundedSCAN
Users that are interested in groundedSCAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.☆16Mar 21, 2021Updated 5 years ago
- ☆17Nov 10, 2021Updated 4 years ago
- ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…☆18Nov 28, 2021Updated 4 years ago
- Systematic generalization test for CLEVR☆15Mar 11, 2020Updated 6 years ago
- Measuring compositionality in representation learning☆73May 5, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Datasets for compositional learning☆11Nov 28, 2018Updated 7 years ago
- Simple language-driven navigation tasks for studying compositional learning☆205Nov 5, 2020Updated 5 years ago
- ☆22Jan 22, 2026Updated 7 months ago
- PyTorch code for meta seq2seq learning☆44Jan 14, 2020Updated 6 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆29Jul 8, 2021Updated 5 years ago
- Implementation of the Playground environment from the paper Language as a Cognitive Tool to Imagine Goals inCuriosity-Driven Exploration.☆11Mar 5, 2021Updated 5 years ago
- ☆14Feb 1, 2024Updated 2 years ago
- ☆64Sep 13, 2022Updated 4 years ago
- BabyAI platform. A testbed for training agents to understand and execute language commands.☆766Oct 1, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Compositional generalization through meta sequence-to-sequence learning☆84Jan 7, 2020Updated 6 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Mar 9, 2021Updated 5 years ago
- PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper☆25Feb 14, 2022Updated 4 years ago
- Neural-Grammar-Symbolic Learning with Back-Search☆55Jul 25, 2024Updated 2 years ago
- Sequence-Level Mixed Sample Data Augmentation☆22Mar 7, 2021Updated 5 years ago
- ☆10Dec 10, 2024Updated last year
- Code and data for Learning Rewards from Linguistic Feedback, AAAI '21☆12Dec 16, 2020Updated 5 years ago
- Implements the Messenger environment and EMMA model.☆25Jun 14, 2023Updated 3 years ago
- A collection of meta-learning algorithms in Jax☆24Sep 3, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Pytorch implementation of the MAC-Network☆12Jan 13, 2022Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- Semantic spaces in python☆14Jul 6, 2023Updated 3 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Apr 2, 2019Updated 7 years ago
- ☆35Mar 13, 2021Updated 5 years ago
- Paper: Learning to Recombine and Resample Data for Compositional Generalization☆11Oct 9, 2020Updated 5 years ago
- Pragmatic models for generating and following instructions☆13Dec 22, 2019Updated 6 years ago
- Emergent Communication of Generalizations, NeurIPS 2021☆13Sep 29, 2021Updated 4 years ago
- Learning effect regulated object categories☆15Nov 4, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Learn a domain-specific heuristic function in a domain-independent fashion to solve pathfinding problems.☆18Sep 5, 2026Updated 2 weeks ago
- Codebase for Global Neural CCG Parsing with Optimality Guarantees☆25Apr 27, 2017Updated 9 years ago
- ☆41Jan 11, 2021Updated 5 years ago
- A psycholinguistic modeling toolkit☆35Jul 30, 2026Updated last month
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆79Dec 5, 2023Updated 2 years ago
- ☆26Jan 2, 2019Updated 7 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆28May 22, 2023Updated 3 years ago