zacharycbrown
Electrical Engineering (Machine Learning / Signal Processing) Researcher - Employer: Duke University
Duke UniversityDurham, NC
Pinned Repositories
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's Repositories
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