zacharycbrown

AmortizedCausalDiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

braindecode_from_hubertjb

Deep learning software to decode EEG or MEG signals

causal-inference-via-nonlinear-forecasting

deep-scientific-discovery

An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

iVAE

VAEs and nonlinear ICA: a unifying framework

iVAE-1

VAEs and nonlinear ICA: a unifying framework

mfcvae

[NeurIPS 2021] 🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.

nlp_unsupervised_graphical_representations

ssl_baselines_for_biosignal_feature_extraction

Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

zacharycbrown/ssl_baselines_for_biosignal_feature_extraction

Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

zacharycbrown/nlp_unsupervised_graphical_representations

zacharycbrown/AmortizedCausalDiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

zacharycbrown/braindecode_from_hubertjb

Deep learning software to decode EEG or MEG signals

zacharycbrown/causal-inference-via-nonlinear-forecasting

zacharycbrown/deep-scientific-discovery

An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'

zacharycbrown/Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

zacharycbrown/iVAE

VAEs and nonlinear ICA: a unifying framework

zacharycbrown/iVAE-1

VAEs and nonlinear ICA: a unifying framework

zacharycbrown/mfcvae

[NeurIPS 2021] 🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.

zacharycbrown/minimal

Minimal is a Jekyll theme for GitHub Pages

zacharycbrown/MMPF

Implementation of Minimax Pareto Fairness framework

zacharycbrown/probML_final_project

A repository for our group's final project in Duke University's STA 561 Probabilistic ML course.

zacharycbrown/Pytorch-VaDE

My implementation of Variational Deep Embedding (VaDE) using Pytorch

zacharycbrown/scikit_tt

Tensor Train Toolbox

zacharycbrown/skccm

Convergent Cross Mapping in Scikit Learn's style

zacharycbrown/TDNet

Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates (TIP 2020)

zacharycbrown/tensortools

A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA

zacharycbrown/ThinkerInvariance

zacharycbrown/Time_Delay_DMD

Dynamic Mode Decomposition (DMD) in Principal Component Trajectory Coordinates

zacharycbrown/towards-neural-programming-interfaces

The code repository associated with the NeurIPS 2020 paper: "Towards Neural Programming Interfaces"

zacharycbrown/zacharycbrown.github.io