Pre-Processing, Post-Processing, and Visualization Tailored for OpenSeesPy
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
A Python package for surface-wave inversion pre- and post-processing.
CPIP - a C/C++ preprocessor implemented in Python.
Efficiently Composable Data Augmentation on the GPU with Jax
Glare reduction is a step in Recovering glare images by Image processing method in Convolutional Neural Network (CNN).
Pre-processing methods for mHealth and wearables data.
A collection of tools for pre-processing, simulating, and post-processing vascular morphologies.
Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
Interpolate and/or mesh rivers from cross-sections profiles (and constraint lines)
Commands to run VASP jobs automatically. Pre-processing or post-processing
A python toolkit for pre- and post-processing FEBio Simulations
An environment is being developed where ingenious ideas in fields such as image processing can be implemented more rapidly—without the need to write code or face technical limitations—through the seamless integration of nearly all image processing techniques. It can use for the preparation of experimental datasets.
Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
MEGAP: A Comprehensive Pipeline for Automatic Pre-processing of Large-scale MEG Data
Predicting the demand of food amenities using LSTM and MLP
Python search engine
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