Deep and Machine Learning for Microscopy
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Updated
Feb 6, 2024 - Python
Deep and Machine Learning for Microscopy
Comparative analysis of pairwise interactions in multivariate time series.
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
Explorative multivariate statistics in Python
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
(Multiblock) Partial Least Squares Regression for Python
Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
MFTE (Multi Feature Tagger of English) Python is the Python version based on Le Foll's MFTE written in Perl. It is extended to include semantic tags from Biber (2006) and Biber et al. (1999), including other specific tags.
Python implementation of STATIS for analysis of several data tables
Long short term memory (LSTM) and Variational-autoencoder (VAR) combined for Multivariate Time Series Forecasting
Time series analysis codes used in the company's data science projects.
Correspondence Analysis with python
Facial attractiveness in the brain: A multivariate pattern analysis
Python toolbox intended for GIS Archaeology tools developed by Matthew Bova
A mirror and a fork of PyChem
Pipelines for Multivariate Analyses of Neuroimaging data in Python
This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.
Parallel Coordinates visualization tool for n-D multivariate classifications
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