Open standard of feature extraction algorithms
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Updated
May 29, 2024 - Python
Open standard of feature extraction algorithms
Easy-to-Use C++ Computer Vision Library
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
Feature Engine for real-time AI/ML
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Python framework for automated time series classification and regression
Image Classification, Object Detection, Image Segmentation, Instance Segmentation and Pose Estimation
跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星:)。
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.
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
🔬motif-learn: machine learning in scanning transmission electron microscopy
catch22: CAnonical Time-series CHaracteristics
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.
AIML Projects
📊 Computation and processing of models' parameters
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