Discover arayabrain/PermutationalNetworks Open Source project

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Python
Created almost 8 years ago
Updated over 7 years ago

arayabrain

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Code for our paper on dynamics prediction using permutation-equivariant neural networks. The base of the repository contains an implementation of a drop-in Lasagne layer, and the subdirectories contain specific experiments from the paper.

RecurrentAutoencoder

Sample code for generative recurrent autoencoders.

Jupyter Notebook

space-engineers-ai-spaceship-generator

Research code for the Space Engineers AI Spaceship Generator project.

Python

FewshotClassifier

Code for the blog post on few-shot classification via task representation and communication.

Jupyter Notebook

ClassifierGenerators

Supporting code for the paper 'Learning to generate classifiers'.

Python

GenerativeControl

Code for a generative controller for the AI Gym cartpole task

Python

AffordanceMapping

Jupyter Notebook

SimplestGANBlogpostCode

Code for the blog post on GAN stability

Jupyter Notebook

QuestionDrivenNovelty

Supporting code for the paper 'Being curious about the answers to questions: novelty search with learned attention'

Jupyter Notebook

BinarySearchLSTM

Code for the experiment using reinforcement learning and LSTM networks to learn binary search.

Python

neural-coarse-graining

Reference implementation of the neural coarse-graining algorithm in Python/Theano/Lasagne.

Python

Simple-GAN-Example

Example code to implement a 2D generative adversarial network in Lasagne.

Jupyter Notebook

demtutorial

Jupyter Notebook

multimodal-global-workspace-agent

Jupyter Notebook

OptimizerComparisons

Some experiments comparing different optimizers.

Jupyter Notebook

ELSIWinterSchool

Machine learning examples for ELSI Winter School

Jupyter Notebook

arayabrain/PermutationalNetworks

arayabrain

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