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Boston, MA

T. Andy Keller

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@akandykeller

Research Fellow at Harvard Kempner Institute

TopographicVAE. Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"

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NeuralWaveMachines. Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks"

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SelfNormalizingFlows. Python

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FERNN. Official repository for the paper "Flow Equivariant Recurrent Neural Networks"

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Wave_RNNs. Official implementation of "Traveling Waves Encode the Recent Past and Enhance Sequence Learning" (ICLR 2024)

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3D_Spectrogram. 3D Real time spectrogram of input file using CUDA

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CategorySelectiveTVAE. Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders

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PCTVAE. Official Implementation of ICCV Visual Inductive Priors Workshop Submission "Predictive Coding with Topographic Variational Autoencoders"

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Classical_Piano_Generation. Application of Biaxial RNN (variant of Spatial LSTM) to classical piano generation

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akandykeller.github.io. HTML

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DSN_TensorFlow. Implementation of Deeply-Supervised Networks in Tensorflow (http://vcl.ucsd.edu/~sxie/pdf/dsn_nips2014.pdf)

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fast_weights. Fast-Weights applied to NLP tasks

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memn2n. End-To-End Memory Network using Tensorflow

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