Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
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Updated
Jul 10, 2017 - Python
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.
[IROS20] Relational graph learning for crowd navigation
Tensorflow Implementation of Visual Interaction Networks
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"
Meta learner A3C algorithm with a neural relational memory module
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
Implementations of state-of-the-art relational reasoning algorithms, using PyTorch.
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