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3d-shapes

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

abstract-reasoning-matrices

Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

ai_summer

Summary repository for AI Summer 2022

alans

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

algebraicmr

We introduce algebraic machine reasoning to solve Raven's Progressive Matrices (RPMs).

animalai-olympics

Code repository for the Animal AI Olympics competition

arne

avr-predrnet

The official pytorch implemention of our ICML-2023 paper "Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests".

awesome-agi-cocosci

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

chomp

CHomP -- Computation Homology Project software

cobweb

The library for the revised Cobweb family: the incremental concept formation system and its variations.

continual-analogical-reasoning

PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"

conv4d

4D convolution relying on Sonnet

conv4d-1

4D Convolution Operator for TensorFlow

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

copinet

Learning Perceptual Inference by Contrasting

cpcnet

cvr

A Benchmark for Efficient and Compositional Visual Reasoning

dcnet

Effective Abstract Reasoning with Dual-Contrast Network

deepiq

A Human-Inspired AI System for Solving IQ Test Problems

desom

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

distracting_feature

This is a PyTorch implement of ''Abstract Reasoning with Distracting Features'' that appears in the NeurIPS 2019.

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

emergent_symbols

Code for 'Emergent Symbols through Binding in External Memory'.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generating-correct-answers-for-progressive-matrices-intelligence-tests

code for the paper "Generating Correct Answers for Progressive Matrices Intelligence Tests"

greenpepper