🔬motif-learn: machine learning in scanning transmission electron microscopy
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Updated
Jun 3, 2024 - Python
🔬motif-learn: machine learning in scanning transmission electron microscopy
This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.
Letters and numbers classifier for chess games using computer vision and neural networks.
Image Classification, Object Detection, Image Segmentation, Instance Segmentation and Pose Estimation
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Feature engineering package with sklearn like functionality
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Audio feature extraction for JavaScript.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Perform stability selection in matlab using a variety of feature selection methods
CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Highly comparative time-series analysis
practicing some basic pandas, pyplot and plotly routines
IU Projects
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