Search Results for "python feature selection" - Page 14
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Showing 857 open source projects for "python feature selection"
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KhervePDF
Edit, annotate and version-control PDFs with Git history built in
KhervePDF is a free, open-source PDF viewer and annotation editor for Windows, built in Python with PySide6 and PyMuPDF. It combines a clean editing experience with a feature unique among PDF tools: every change is tracked in a per-document Git repository, so you can browse history, diff revisions, and restore earlier versions of any PDF. Annotate with pen, highlighter, text boxes, shapes, arrows, sticky notes, signatures, and redactions. -
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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Spintax Studio
Offline Windows editor for spintax templates with live preview
Spintax Studio is a native Windows editor for spintax templates: two panes, your template on the left, its live render on the right. Preview and the valid/invalid verdict come from the real spintax engine inside the application, not from a second parser. Diagnostics carry line and column positions and link to the built-in help; panels list variable definitions, references, session values and #include targets with their resolution status. Generate variants locally, reproduce them with a... -
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Network Enumeration Tool
Network Enumeration Tool for Host Exploration and Recon
N-ETHER (Network Enumeration Tool for Host Exploration and Reconnaissance) is a robust and highly automated Python script designed to streamline the critical initial phases of network security auditing and penetration testing. It’s core purpose is to perform fast, comprehensive, and consistent host and port discovery across single targets or large lists of IP addresses. N-ETHER functions as an intelligent, opinionated wrapper around the powerful nmap tool, bundling best-practice scanning techniques—including service versioning, NSE scripting, and intelligent port selection—into a single, easy-to-use utility. ... -
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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audioFlux
A library for audio and music analysis, feature extraction
A library for audio and music analysis, and feature extraction. Can be used for deep learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training and is used to... -
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QuickBeat
Fully Customizable Full-Fledged Audio Player Supporting Many Formats
...Enjoy your media collection in one unified interface, have access to your local network, Deezer, Youtube-DL and Remote file, never miss information on your remote media via remote tags reading, tweak your music how you want using a variety of built-in audio effects and if that doesn't suit you, you can import your winamp plugins , immerse yourself with our selection of visualizers and if you get bored with them, import your winamp, sonique, bassbox and windows media player visualizers. have immediate access to your library using our lightning search feature. have this and many more using QuickBeat. Try it now! -
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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. -
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REDACT
Erase everything. Leave nothing.
REDACT 4.0.0 is an open-source Windows anti-forensics & artifact sanitization suite that permanently destroys 285 system artifacts — browser history, registry traces, NTFS change journals, Windows Recall AI snapshots, live RAM, and encrypted volume key material. New in 4.0.0: Auto-Trigger Engine — 7 triggers: USB Panic, Login Failure, Dead Man's Switch, VPN Disconnect, WiFi Change, Time Window, Forensic Tool Detection. BitLocker and VeraCrypt header destruction renders encrypted... -
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Notetask - Task & Notes in Plaintext
A simple application for creating and organizing task lists, offering
Notetask is a cross-platform application for managing task lists that include completion status, task description, and notes. Each task can have a due date and be marked as a favorite with a star. It uses its own storage text format based on Markdown. It is designed to help you quickly organize a large number of small routine tasks. You can enter tasks directly in the app or paste raw text from the clipboard — such as a list of requirements or ideas — then sort them into groups, set... -
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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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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Kisekae UltraKiss
Kisekae UltraKiss is a full featured integrated development environmen
UltraKiss is a computer program that implements the Kisekae Set system, KiSS, a Japanese graphics system originally developed to facilitate costume changes on virtual dolls. UltraKiss was developed to help artists build their KiSS sets. It is a full featured viewer for all KiSS dolls, games, and visual applications. It is also a complete graphical development environment for creating KiSS applications. It fully implements the FKiSS event driven programming language up to and including... -
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NVIDIA Merlin
Library providing end-to-end GPU-accelerated recommender systems
NVIDIA Merlin is an open-source library that accelerates recommender systems on NVIDIA GPUs. The library enables data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes tools to address common feature engineering, training, and inference challenges. Each stage of the Merlin pipeline is optimized to support hundreds of terabytes of data, which is all accessible through easy-to-use APIs. For more information, see NVIDIA... -
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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in... -
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ChatTTS_colab
One-click deployment (including offline integration package)
ChatTTS_colab is a wrapper project around the ChatTTS model that focuses on “one-click” deployment, especially in Google Colab. It provides an integrated offline bundle and scripts for Windows and macOS so users can run ChatTTS locally without wrestling with complex environment setup. The repository includes Colab notebooks that launch a Gradio-based web UI and expose streaming TTS, making it possible to listen to generated audio as it is produced. A distinctive feature is the “voice gacha”... -
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CerberusCMS5
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content... -
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Introduction to ML with Python
Notebooks and code for the book "Introduction to Machine Learning
Introduction to Machine Learning with Python is the companion code repository for the book by Andreas Mueller and Sarah Guido. It provides the Jupyter notebooks used to develop the book, allowing readers to reproduce examples and visualizations. Chapters cover machine-learning foundations, supervised and unsupervised methods, feature engineering, model evaluation, pipelines, and text processing. -
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Computer Vision in Action
A computer vision closed-loop learning platform
Computer Vision in Action is a practical, example-rich repository that demonstrates real-world applications of computer vision techniques and algorithms in Python, often using OpenCV, deep learning models, and related tooling. It serves as a hands-on companion for learners and engineers who want to understand not just the theory, but how computer vision is actually implemented for tasks like object detection, image classification, feature tracking, optical flow, and image segmentation. The repository includes structured code examples, scripts, and notebooks that cover pipeline construction, preprocessing, model inference, and visual output rendering, making it easy for newcomers or intermediate practitioners to adapt patterns to their own projects. ... -
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High-Level Training Utilities Pytorch
High-level training, data augmentation, and utilities for Pytorch
Contains significant improvements, bug fixes, and additional support. Get it from the releases, or pull the master branch. This package provides a few things. A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading. Utility tensor and variable functions so you don't need numpy as often. Have any feature requests? Submit an issue! I'll make it happen. Specifically, any data augmentation, data... -
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UpTrain
Your open-source LLM evaluation toolkit
Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison... -
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Sorting-Visualizer
A GUI sorting visualizer desktop application
A GUI sorting visualizer desktop application that helps to visualize various sorting algorithms interactively. Visualizer the sorting algorithms like Bubble sort, Insertion sort, Selection sort, Gnome sort, Shaker sort and Odd even sort. Change the bar color and background by customizing. Increase or decrease speed of animation to visualize the sorting process. Download now! -
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Patch-NetVLAD
Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
This repository contains code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition". -
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scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
...The tutorials collectively span several hours of instructional content and demonstrate how to build predictive models using Python tools commonly used in the data science ecosystem. -
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Curated Transformers
PyTorch library of curated Transformer models and their components
State-of-the-art transformers, brick by brick. Curated Transformers is a transformer library for PyTorch. It provides state-of-the-art models that are composed of a set of reusable components. Supports state-of-the-art transformer models, including LLMs such as Falcon, Llama, and Dolly v2. Implementing a feature or bugfix benefits all models. For example, all models support 4/8-bit inference through the bitsandbytes library and each model can use the PyTorch meta device to avoid unnecessary... -
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. -
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Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,...
