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A PyTorch based deep-learning toolkit for developing DL models for physical systems

Python 1 Updated Mar 28, 2023

The standard package for data-centric AI and machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Python 1 Updated Mar 12, 2022

A BERT model for scientific text.

Python 1 Updated Feb 22, 2022
Jupyter Notebook 1 Updated Feb 14, 2021

Pure python implementation of SNN

Python 1 Updated Dec 31, 2018

Python package for NN generation from physics

Python 2 1 Updated Mar 9, 2020

A tutorial demonstrating how to implement deep learning models for time series forecasting

Jupyter Notebook 1 Updated Jan 28, 2020

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

Python 1 2 Updated Dec 19, 2019

A tutorial demonstrating how to implement deep learning models for time series forecasting

Jupyter Notebook 12 14 Updated Jan 28, 2020

Data sets for Imbalanced Regression

3 4 Updated Oct 27, 2017

Extreme Learning Machine implementation in Python 3

Python 1 1 Updated Aug 24, 2018

Extreme Learning Machine implementation in Python

Python 44 21 Updated Jun 22, 2014
Jupyter Notebook 1 Updated Dec 16, 2018