code from "Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity"

Last update: Oct 16, 2022

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Code associated with the paper "Tensor decomposition of higher-order correlations by nonlinear Hebbian learning," Ocker & Buice, Neurips 2021.

"plot_fig_natim.py" contains code related to figure 1; "plot_fig_natim_multi_term.py" contains code related to figure 3. "data" contains inputs used in figure 1.

Owner

Gabriel Koch Ocker

GitHub Repository

A3C LSTM Atari with Pytorch plus A3G design

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The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure

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Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

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Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021)

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Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

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Encoding Causal Macrovariables

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SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

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code from "Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity"

Related tags

Overview

Owner

Gabriel Koch Ocker

A3C LSTM Atari with Pytorch plus A3G design

Omnidirectional camera calibration in python

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

BMVC 2021: This is the github repository for "Few Shot Temporal Action Localization using Query Adaptive Transformers" accepted in British Machine Vision Conference (BMVC) 2021, Virtual

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021)

Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

Encoding Causal Macrovariables

SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

The Python ensemble sampling toolkit for affine-invariant MCMC

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

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