Yao Zhang's repositories
DATASCIENCE_COURSE
Codes for a data science course
selfEEG
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
kan-implementation
kolmogorov-arnold network (kan) method implementation
531w24
DATASCI/STATS 531. Modeling and analysis of time series data.
mlgw_bns
Accelerating gravitational wave template generation with machine learning.
mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
PyCBC-Tutorials
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
fourier-and-wavelets
AMCS 237: Fourier and Wavelet Theory
SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
math-tools-nyu
DS-GA 1013 Mathematical Tools for Data Science
sdodemo
Demo code for miniature version of Solar Dynamics Observatory dataset
dbie
A GPU parallelized Direct Boundary Integral Equation methond for nonlinear force-free magnetic fields.