GitHub

Aspect Based Sentiment Analysis, PyTorch Implementations.

pytorch >= 0.4.0 numpy >= 1.13.3 sklearn python 3.6 / 3.7 transformers To install requirements, run pip install -r requirements.txt. For non-BERT-based models, GloVe ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Scientific Research Publishing

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers ()

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and ...
GitHub

scikit-learn-contrib/py-earth

Now With Missing Data Support! The py-earth package now supports missingness in its predictors. Just set allow_missing=True when constructing an Earth object. The R package earth was most useful to me ...
Frontiers

Predicting Ischemic Stroke Outcome Using Deep Learning Approaches

Predicting functional outcomes after an Ischemic Stroke (IS) is highly valuable for patients and desirable for physicians. This facilitates physicians to set reasonable goals for patients and ...
IEEE

Apply Scikit-Learn in Python to Analyze Driver Behavior Based on OBD Data

Abstract: The long term accumulated driving information can effectively summarize the specific driver behavior by statistical analysis. In order to widely and chronically collect driving information ...