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Hi there! / Salut tout le monde !👋

  • 🔭 I’m currently a PhD student in Electrical Engineering at McGill University. / Je suis étudiante au doctorat en génie électrique à l'université McGill.

  • 🌱 Enthusiastic about music/singing/piano, reading, and fitness training. / J'aime la musique/chanter/jouer du piano, lire et l'entraînement physique.

  • 🤔 Coding is not my strongest suit yet but I'm actively learning and hope to improve little by little! / Le codage n'est pas encore mon point fort; mais j'espère que je vais m'améliorer petit à petit !

  • 📫 Struggling to learn French recently; still looking to improve my English; hoping to learn German someday in the future.

Élise Zhang's Projects

causal_ccm icon causal_ccm

Package implementing Convergent Cross Mapping for causality inference in dynamical systems

jax-lmu icon jax-lmu

Legendre Memory Unit (LMU) implementation using Jax

jwave icon jwave

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

nilm_analyzer icon nilm_analyzer

Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.

rlmsad icon rlmsad

Reinforcement Learning-Based Model Selection for Anomaly Detection (RLMSAD)

skccm icon skccm

Convergent Cross Mapping in Scikit Learn's style

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

usad-on-wadi-and-swat icon usad-on-wadi-and-swat

Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited in the papers, "SWaT" (Secure Water Treatment) and "WADI" (Water Distribution)

vae-nilm icon vae-nilm

Non-Intrusive Load Monitoring based on VAE model

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