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.

Tensorflow Implementation of Visual Interaction Networks

[IROS20] Relational graph learning for crowd navigation

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.

Logic Programming in Python

Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects

Code for the paper "Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection"

⚡ SRLBoost: BoostSRL but ¼ the size and twice the speed. Refactor for srlearn's core.

This is the project repo associated with the paper "Disentangling and Integrating Relational and Sensory Information in Transformer Architectures" by Awni Altabaa, John Lafferty

Meta learner A3C algorithm with a neural relational memory module

ReVoLT: Relational Reasoning and Voronoi Local graph planning for Target-driven navigation

TensorFlow implementation of 'A simple neural network module for relational reasoning' for bAbi task.

An un-official implementation of Relational Network [A. Santoro et al., 2017] (PyTorch)

This is a Pytorch implementation of "A Simple neural network module for relational reasoning" with interactive GUI Question-Answering Interface

GAN Learning using RN

Implementations of state-of-the-art relational reasoning algorithms, using PyTorch.