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RecurrentAutoencoder
Sample code for generative recurrent autoencoders.FewshotClassifier
Code for the blog post on few-shot classification via task representation and communication.ClassifierGenerators
Supporting code for the paper 'Learning to generate classifiers'.PermutationalNetworks
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.GenerativeControl
Code for a generative controller for the AI Gym cartpole taskAffordanceMapping
SimplestGANBlogpostCode
Code for the blog post on GAN stabilityQuestionDrivenNovelty
Supporting code for the paper 'Being curious about the answers to questions: novelty search with learned attention'BinarySearchLSTM
Code for the experiment using reinforcement learning and LSTM networks to learn binary search.neural-coarse-graining
Reference implementation of the neural coarse-graining algorithm in Python/Theano/Lasagne.Simple-GAN-Example
Example code to implement a 2D generative adversarial network in Lasagne.demtutorial
multimodal-global-workspace-agent
OptimizerComparisons
Some experiments comparing different optimizers.ELSIWinterSchool
Machine learning examples for ELSI Winter SchoolLove Open Source and this site? Check out how you can help us