Curf/CNN-for-Infrared-Spectroscopy
CNN for Infrared Spectroscopy Classification
This helps scientists and chemists automatically interpret infrared spectroscopy data from aqueous solutions. It takes your cleaned infrared spectroscopy measurements and accurately classifies the chemical components or predicts their concentrations. This tool is designed for laboratory researchers, analytical chemists, or quality control professionals working with spectral analysis.
No commits in the last 6 months.
Use this if you need to quickly and reliably identify substances or quantify their presence using infrared spectroscopy of aqueous samples, without extensive manual chemometric analysis.
Not ideal if your primary goal is to develop novel deep learning architectures from scratch, as this project provides a pre-structured approach for a specific application.
Stars
9
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 12, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Curf/CNN-for-Infrared-Spectroscopy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow