- Champaign, Illinois
- https://scholar.google.com/citations?hl=en&user=lCy5VsUAAAAJ
- @neeraj_wagh
Highlights
- Pro
Starred repositories
Feature extraction toolbox compatible with Braindecode
This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
Flexible time series feature extraction & processing
An intuitive library to extract features from time series.
[ICML'24] Official PyTorch Implementation of TimeX++
Time series explainability via self-supervised model behavior consistency
A playbook for systematically maximizing the performance of deep learning models.
art-science project to draw a portrait from EEG
Agustinus' very opiniated publication-ready plotting library
Investigating subgroup robustness in seizure detection models over EEG data
visualization functions for EEG in matplotlib and jupyter notebooks
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Run GUI applications and desktops in docker and podman containers. Focus on security.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
CVPR 2024-Improved Implicit Neural Representation with Fourier Reparameterized Training
Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
Automatically process entire electrophysiological datasets using MNE-Python.
Basic Neuroimaging functions - stuff missing from nibabel and nilearn