[IROS20] Relational graph learning for crowd navigation
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Updated
Dec 23, 2020 - Python
[IROS20] Relational graph learning for crowd navigation
Tensorflow Implementation of Visual Interaction Networks
Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"
⚡ SRLBoost: BoostSRL but ¼ the size and twice the speed. Refactor for srlearn's core.
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
TensorFlow implementation of 'A simple neural network module for relational reasoning' for bAbi task.
Logic Programming in Python
ReVoLT: Relational Reasoning and Voronoi Local graph planning for Target-driven navigation
This is a Pytorch implementation of "A Simple neural network module for relational reasoning" with interactive GUI Question-Answering Interface
Implementations of state-of-the-art relational reasoning algorithms, using PyTorch.
Code for the paper "Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection"
This is the project repo associated with the paper "Disentangling and Integrating Relational and Sensory Information in Transformer Architectures" by Awni Altabaa, John Lafferty
An un-official implementation of Relational Network [A. Santoro et al., 2017] (PyTorch)
Meta learner A3C algorithm with a neural relational memory module
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