OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
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Updated
Jul 1, 2024 - C++
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
📊 Computation and processing of models' parameters
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Implementasi Image Retrieval dengan feature extractor ResNet50.
This project implements visual odometry to estimate the trajectory of a self-driving car.
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.
Scripts and figures as a part of an ongoing research initiative for Advancing Hepatocellular Carcinoma Staging and Prognosis
Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.
catch22: CAnonical Time-series CHaracteristics
Public Repository for Exoplanet Detection with Classical Machine Learning Approaches
An intuitive library to extract features from time series.
Data Science Project using Churn Modeling Dataset to determine whether the customer left the bank or continues with it.
A simple PlatformIO library for extracting basic ten features per axis from a window or segment of 3 axis accelerometer or similar sensor data for ESP32 or similar boards
Python framework for automated time series classification, regression and forecasting
Feature engineering package with sklearn like functionality
Easy-to-Use C++ Computer Vision Library
Automatic extraction of relevant features from time series:
Highly comparative time-series analysis
Multivariate stock price forecasting
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