Search Results for "feature selection"
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Showing 119 open source projects for "feature selection"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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YPImagePicker
Instagram-like image picker & filters for iOS
YPImagePicker is an Instagram-like photo/video picker for iOS written in pure Swift. It is feature-rich and highly customizable to match your App's requirements. -
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QuickLook
Bring macOS “Quick Look” feature to Windows
Bring macOS “Quick Look” feature to Windows. One of the few features I missed from macOS is Quick Look. It allows users to peek into a file's content at lightning speed by just pressing the Space key. Windows, on the other hand, does not have this handy feature, until now! I am aware that several alternatives are already available on the Internet (e.g. WinQuickLook and Seer). -
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Practical Machine Learning with Python
Master the essential skills needed to recognize and solve problems
...It centralizes example code, datasets, model pipelines, and explanatory notebooks that teach users how to approach problems from data ingestion and cleaning all the way through feature engineering, model selection, evaluation, tuning, and production-ready deployment patterns. The repository emphasizes end-to-end workflows rather than isolated code snippets, showing how to handle common challenges like class imbalance, overfitting, hyperparameter optimization, and interpretability. By leveraging popular Python libraries such as pandas, scikit-learn, XGBoost, and visualization tools, it illustrates how to build reproducible and robust solutions that scale beyond small demos. -
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River ML
Online machine learning in Python
River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data. River is the result of a merger between creme and scikit-multiflow. -
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tsfresh
Automatic extraction of relevant features from time series
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python.... -
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LightAutoML
Fast and customizable framework for automatic ML model creation
LightAutoML is an automated machine learning (AutoML) framework optimized for efficient model training and hyperparameter tuning, focusing on both tabular and text data. -
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The ARCHModels Package for Julia
A Julia package for estimating ARMA-GARCH models
ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models. ARCH (Autoregressive Conditional... -
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Contour
Modern C++ Terminal Emulator
...Vi-like input modes for improved selection and copy'n'paste experience and Vi-like scrolloff feature. Blurred behind transparent background when using Windows 10 or KDE window manager on Linux. Blurrable Background image support. Runtime configuration reload. 256-color and Truecolor support. Key binding customization. -
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AG Grid
The best JavaScript Data Table for building enterprise applications
The performance, feature set and quality of AG Grid have not been seen before in a JavaScript data grid. Many features in AG Grid are unique to AG Grid, and simply put AG Grid into a class of its own, without compromising on quality or performance. Over 600,000 monthly downloads of AG Grid Community and over 50% of the Fortune 500 using AG Grid Enterprise. AG Grid has become the JavaScript Datagrid of choice for Enterprise JavaScript developers. AG Grid Community is free and open-sourced... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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caret
caret (Classification And Regression Training) R package
The caret (Classification And Regression Training) R package streamlines the process of building predictive machine learning models. It provides uniform interfaces for model training, tuning, evaluation, preprocessing, and variable importance. With support for over 200 models, caret is foundational for R workflows in modeling and machine learning. -
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PiliPlus
PiliPlus
PiliPlus is an open-source, third-party mobile client oriented around browsing and watching online video content with a focus on a smooth, feature-rich viewing experience. It typically aggregates feeds, categories, and search into a unified interface that makes discovery straightforward for casual use as well as power users. The player experience emphasizes responsive controls, on-screen comments (danmaku) or subtitles where supported, and options for quality selection and caching for offline viewing. ... -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
Kaggle Solutions is an open-source repository that compiles winning solutions, insights, and educational resources from hundreds of Kaggle data science competitions. The repository acts as a knowledge base for competitive machine learning by collecting solution write-ups, discussion threads, code notebooks, and tutorial resources shared by top Kaggle participants. Each competition entry typically includes information about the dataset, evaluation metrics, modeling strategies, and techniques... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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Stable Diffusion WebUI Docker
Easy Docker setup for Stable Diffusion with user-friendly UI
Stable Diffusion WebUI Docker is a Docker-based repository that simplifies running Stable Diffusion with rich user interfaces by packaging multiple popular web UIs into an easy-to-deploy containerized solution. It integrates leading community UIs like AUTOMATIC1111 and ComfyUI into a Docker Compose setup that can be started with a single command, abstracting away dependency installation and environment configuration. Users can choose which UI profile they want to run — for example, full... -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,... -
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sqlmap
Automatic SQL injection and database takeover tool
sqlmap is a powerful, feature-filled, open source penetration testing tool. It makes detecting and exploiting SQL injection flaws and taking over the database servers an automated process. sqlmap comes with a great range of features that along with its powerful detection engine make it the ultimate penetration tester. It offers full support for MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, and many other database management systems. It also... -
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DXcharts Lite
Flexible open source financial charting library
...The platform streams real-time data updates allowing users to stay on top of market movements. - Comprehensive market coverage. DXcharts Lite provides a wide-ranging selection of asset classes and extensive market coverage. This includes a variety of financial instruments such as stocks, forex, cryptocurrencies, and more. - Efficiency and speed. The platform uses HTML5 based on canvas to ensure smooth chart loading and data processing. - Snapshots. The snapshot feature is a handy tool that allows users to take and share chart snapshots anywhere... -
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Conjure
Interactive evaluation for Neovim
Interactive evaluation for Neovim (Clojure, Fennel, Janet, Racket, Hy, MIT Scheme, Guile). Conjure is an interactive environment for evaluating code within your running program. The core features of Conjure are language agnostic (although it’s targeted at Lisps for now), with each language client providing their own extra tools. Here are the currently supported languages, contributions, and 3rd party plugins that add clients are highly encouraged! You can find a comparison table for all... -
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handson-ml2
Jupyter notebooks that walk you through the fundamentals of ML
This repository contains the Jupyter notebooks and code for the second edition of a popular hands-on machine learning book that teaches both classical ML and deep learning using modern tooling. The notebooks emphasize end-to-end workflows: data preparation, model selection, tuning, and reliable evaluation. Deep learning sections use the contemporary Keras/TensorFlow 2 ecosystem, highlighting clean APIs and eager execution to make experiments easier to reason about. Traditional ML topics remain central, with scikit-learn pipelines, feature engineering, and cross-validation patterns that transfer to real projects. ... -
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Starter Applets
Google AI Studio Starter Apps
...The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt templates, streaming UI updates) rather than production feature sets. The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue. -
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scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
scikit-learn-videos repository accompanies a video tutorial series designed to teach machine learning using Python’s scikit-learn library. It provides the Jupyter notebooks used in each lesson so learners can reproduce the demonstrations and experiment with the code themselves. The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. Each video... -
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Android Device ToolKit
Android Device Info Manage Your Android Device Easily Graphically.
Android Device Toolkit is a robust GUI application crafted in Python using tkinter, tailored for seamless management of Android devices through ADB commands. It simplifies device connectivity with automatic detection and list display, facilitating quick identification and selection. Detailed device insights such as battery status and properties are readily accessible, enhancing diagnostic capabilities. Users can execute custom ADB commands flexibly, leveraging predefined options or entering... -
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DataPrep
Python-based data preprocessing tool
DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options. -
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Stipple Effect
A pixel art editor that supports animation and scripting
Stipple Effect is a pixel art editor that supports animation and scripting. It is designed to facilitate a variety of workflows and to encourage rapid, iterative creation of video game art assets and other types of artwork. Stipple Effect was made by a solo indie game developer with the needs and skill sets of other indie developers in mind. It is lightweight and simple to learn and use, yet allows for considerable depth and complexity. Stipple Effect has a feature-rich scripting API that... -
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unwarp
Increase image resolution by eliminating atmospheric distortion
Unwarp is an open-source tool that enhances image resolution by eliminating scintillations caused by atmospheric turbulence and similar distortion phenomena. The software processes a series of images of the same subject, aligning and stacking them using advanced feature selection algorithms and phase correlation approaches. The core technique matches features between images, applies triangulation across the entire frame, and warps each pixel to its optimal position. The resulting aligned images are then averaged into a single output, with automatic outlier elimination for cleaner results. ...
