crazydonkey200 / neural-symbolic-machinesLinks
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
☆381Updated 2 years ago
Alternatives and similar repositories for neural-symbolic-machines
Users that are interested in neural-symbolic-machines are comparing it to the libraries listed below
Sorting:
- Implementation for the Neural Logic Machines (NLM).☆286Updated 6 years ago
- Recurrent Neural Networks with tree structure in Tensorflow☆122Updated 5 years ago
- End-to-End Differentiable Proving☆89Updated 6 years ago
- A syntactic neural model for parsing natural language to executable code☆184Updated 2 years ago
- Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)☆501Updated 3 years ago
- ☆133Updated 6 years ago
- Simple language-driven navigation tasks for studying compositional learning☆196Updated 4 years ago
- ☆167Updated 6 years ago
- Parsing Reading Predict Network☆97Updated 6 years ago
- This repository provides code for reproducing experiments of the paper Talk The Walk: Navigating New York City Through Grounded Dialogue …☆110Updated 3 years ago
- A general-purpose neural semantic parser for mapping natural language queries into machine executable code☆463Updated 2 years ago
- Materials from the ACL 2018 tutorial on neural semantic parsing☆402Updated 6 years ago
- ☆155Updated 5 years ago
- This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and …☆477Updated 5 years ago
- The baselines used in the CoQA paper☆176Updated 5 years ago
- ☆134Updated 7 years ago
- Framework for learning dialogue agents in a two-player game setting.☆160Updated 2 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Reinforcement Learning for Neural Machine Translation☆190Updated 5 months ago
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆238Updated 8 years ago
- The source code for "An Actor Critic Algorithm for Structured Prediction"☆166Updated 8 years ago
- A algebraic word problem dataset, with multiple choice questions annotated with rationales.☆316Updated 7 years ago
- This repository stores slides for a tutorial on variational inference for NLP audiences.☆297Updated 5 years ago
- Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)☆112Updated 5 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆294Updated 6 years ago
- Data and code for SemEval 2019, Task 10: Math Question Answering☆48Updated 6 years ago
- ☆109Updated 6 years ago
- Parse natural language into executable programs☆63Updated 7 years ago
- ProPara (Process Paragraph Comprehension) dataset and models☆81Updated 5 years ago
- Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete …☆74Updated 3 years ago