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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.
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018
Summary repository for AI Summer 2022
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
We introduce algebraic machine reasoning to solve Raven's Progressive Matrices (RPMs).
Code repository for the Animal AI Olympics competition
The official pytorch implemention of our ICML-2023 paper "Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests".
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
CHomP -- Computation Homology Project software
The library for the revised Cobweb family: the incremental concept formation system and its variations.
PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"
4D convolution relying on Sonnet
4D Convolution Operator for TensorFlow
A technical report on convolution arithmetic in the context of deep learning
Learning Perceptual Inference by Contrasting
A Benchmark for Efficient and Compositional Visual Reasoning
Effective Abstract Reasoning with Dual-Contrast Network
A Human-Inspired AI System for Solving IQ Test Problems
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
disentanglement_lib is an open-source library for research on learning disentangled representations.
This is a PyTorch implement of ''Abstract Reasoning with Distracting Features'' that appears in the NeurIPS 2019.
Dataset to assess the disentanglement properties of unsupervised learning methods
Code for 'Emergent Symbols through Binding in External Memory'.
starter from "How to Train a GAN?" at NIPS2016
code for the paper "Generating Correct Answers for Progressive Matrices Intelligence Tests"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.