vacancy / NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
☆426Updated 4 years ago
Alternatives and similar repositories for NSCL-PyTorch-Release
Users that are interested in NSCL-PyTorch-Release are comparing it to the libraries listed below
Sorting:
- Neural-symbolic visual question answering☆263Updated 2 years ago
- Implementation for the Neural Logic Machines (NLM).☆283Updated 6 years ago
- Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep lea…☆311Updated 2 years ago
- Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)☆501Updated 3 years ago
- Contrastive Learning of Structured World Models☆392Updated 4 years ago
- A collection of papers of neural-symbolic AI (mainly focus on NLP applications)☆273Updated 9 months ago
- Neural State Machine implemented in PyTorch☆71Updated 5 years ago
- Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)☆465Updated 4 years ago
- A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning☆614Updated 3 years ago
- RAVEN: A Dataset for Relational and Analogical Visual rEasoNing☆168Updated last month
- A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset☆88Updated 5 years ago
- Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)☆536Updated 5 years ago
- Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillic…☆178Updated 6 years ago
- Personal python toolbox.☆140Updated 2 months ago
- A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).☆577Updated last year
- Multi-object image datasets with ground-truth segmentation masks and generative factors.☆268Updated 3 years ago
- Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with appl…☆380Updated 2 years ago
- [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"☆739Updated 5 years ago
- Simple language-driven navigation tasks for studying compositional learning☆195Updated 4 years ago
- Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017☆271Updated 4 years ago
- "Scene Graph Generation by Iterative Message Passing" code repository☆431Updated 6 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- Deep Learning and Logical Reasoning from Data and Knowledge☆296Updated 6 months ago
- Neural-Grammar-Symbolic Learning with Back-Search☆54Updated 9 months ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆340Updated 2 months ago
- Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.☆136Updated last year
- PyTorch implementation of ICLR 2020 paper "CLEVRER: CoLlision Events for Video REpresentation and Reasoning"☆115Updated 4 years ago
- PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning☆169Updated 6 years ago
- Train embodied agents that can answer questions in environments☆306Updated last year
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated last year