Search Results for "python feature selection" - Page 23
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Showing 857 open source projects for "python feature selection"
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QuoJS
Micro #JavaScript Library for Mobile Devices
QuoJS is a lightweight JavaScript library aimed at building mobile-first web interfaces with a focus on touch interactions and simple DOM utilities. It provides a compact, jQuery-like API for element selection, traversal, and manipulation, but trims the surface area to keep payloads small for mobile browsers. A core feature set centers on high-level touch gestures—such as tap, double-tap, swipe, pinch, and long-tap—abstracting away platform quirks so developers can attach handlers consistently across devices. The library embraces modern browser features and CSS3 where available, offering helpers that make common mobile UI patterns feel responsive and fluid. ... -
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twitchslam
A toy implementation of monocular SLAM written while livestreaming
twitchslam is a small educational implementation of monocular simultaneous localization and mapping created during a livestream. It processes ordinary video while estimating camera motion and building a map of observed 3D points. Frames contain extracted visual features, while map points retain their 2D correspondences across frames. OpenCV handles feature extraction, SDL2 provides a 2D view, and Pangolin renders the reconstructed map in 3D. The project includes pose optimization,... -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
LearningToCompare_FSL is a PyTorch implementation of the “Learning to Compare: Relation Network for Few-Shot Learning” paper, focusing on the few-shot learning experiments described in that work. The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and... -
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aioulinux
Linux for Arduino and Makers developers
Hello, I'm the Aioulinux founder, eager to professionally revive the project. Since 2018, the demand for an IoT and Arduino-tailored environment has been evident. Seeking partners for a 2024 version targeting schools and IoT companies, aiming for a secure and comprehensive platform. If you share this vision and wish to collaborate, reach out. Let's revive Aioulinux stronger than ever! Now seeking partners: Live Distro Specialist: Expert in live distributions to ensure... -
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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Tasks
Program to manage tasks
Tasks aims management of tasks easy. It allows for more advanced features such as tagging tasks with custom categories, importance, subtasks and dates while also making it easy to create them. All a tasks need to be present is a title! -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train... -
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FastPhotoStyle
Style transfer, deep learning, feature transform
FastPhotoStyle is a deep learning-based image stylization framework designed to transfer the style of one photograph onto another while preserving photorealistic quality. Unlike traditional artistic style transfer methods that produce painterly outputs, this approach focuses on maintaining realistic textures, lighting, and spatial consistency. The method is based on a two-step process that includes a stylization phase followed by a smoothing operation, ensuring that the output image remains... -
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fscaret_shiny
UI for fscaret
User Interface (ui) application which implements the automated feature selection provided by the 'fscaret' package of R-environment. -
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chemfiles
Modern library for chemistry file reading and writing
Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with... -
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ABC-SysBio implements likelihood free parameter inference and model selection in dynamical systems. It is designed to work with both stochastic and deterministic models written in Systems Biology Markup Language (SBML).
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DualTranscriptDiscovery
Transcript-discovery approach for gene feature delimitation by RNA-seq
This project contains Python scripts usable for a dual transcript-discovery approach that improves the delimitation of gene features from RNA-seq data in the chicken model. Documentation: http://bio.biologists.org/content/biolopen/suppl/2018/01/17/bio.028498.DC1/BIO028498supp.pdf Citation: Orgeur M., Martens M., Börno S. T., Timmermann B., Duprez D. and Stricker S. (2018). A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the... -
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httpbin
HTTP request and response service, written in Python + Flask
httpbin is a HTTP request & response service. It is written in Python and Flask. With the HTTP methods you can test different HTTP verbs. You also have auth methods, status codes to generate responses with given status code, request inspection features to inspect the request data, response inspection to inspect the response data like caching and headers. The response formats feature returns responses in different data formats, the dynamic data feature generates random and dynamic data. ... -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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auto_ml
Automated machine learning for analytics & production
auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). Make a column_descriptions dictionary that tells us which attribute name in each row represents the value we’re... -
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MethyMer
Design of specific primer combinations for bisulfite sequencing
MethyMer is a Python-based tool aimed at selecting specific primers for amplification of complete CpG islands. These regions are difficult in terms of selection appropriate primers because of their low-complexity, polyN-, CG-richness, etc. MethyMer have a flexible scoring system capable of selecting primers in problematic regions (e.g. SpG islands) and includes specificity test (based on bowtie alignment against bisulfite-treated genome). -
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OWL Machine Learning
Machine learning algorithm using OWL
Feature construction and selection are two key factors in the field of Machine Learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are aggregated, combined or split to create features from raw data. This project makes use of ontologies to automatically generate features for the ML algorithms. -
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NiceHash Miner
NiceHash easy to use CPU & GPU miner
NiceHash Miner is an easy to use CPU & GPU cryptocurrency miner for Windows. With a simple an intuitive graphical user interface it allows you to quickly turn your PC, workstation or server into money-making cryptocurrency mining machine. Why leave your computer idle, whereas it could earn you Bitcoins with just a few clicks? NiceHash Miner is essentially the only tool a miner needs. No need to go through tons of configuration files, various mining software versions, configuration tuning... -
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Youtube-DLG
A cross platform front-end GUI of the popular youtube-dl downloader
YouTube-DLG is a user-friendly graphical interface for the popular command-line tool YouTube-DL, designed to simplify downloading videos and audio from YouTube and other platforms. It allows users to save content in various formats and resolutions, including MP3 and MP4, with just a few clicks. YouTube-DLG supports batch downloading, custom output settings, and format selection, making it a versatile solution for managing downloads efficiently. With its lightweight design and cross-platform... -
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Windows Spotlight Slideshow Update
App maintains a slideshow image folder using Windows Spotlight images.
...The Slideshow Update app is most useful if it is setup as a Windows startup app but it can also be run manually anytime a refresh is desired. Some of the selection criteria are based on exif-type data imbedded in Spotlight images. The Python Pillow addon is used to extract exif-type data. Tkinter is only used to display an error dialog, if errors occur. If there are no errors, the app runs "silently". Requires a Python 3.x environment. -
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DreamStudio by Volocian Studios
Free yourself
Volocian believes first and foremost that financial status shouldn’t be a barrier to entry in multimedia content creation. Whether you want to design a product or website, record a band, remix a song, or produce a feature length movie with professional post production graphics and effects, Volocian™ wants to help, even if you’re using borrowed hardware with no previous experience. We provide affordable products and services for any budget, including cost-free solutions for education and demo... -
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nmr-nessy
NMR relaxation dispersion spectroscopy analysis software
NESSY is an open source software to analyse NMR relaxation dispersion data of either CPMG or R1p (R1rho) dispersion experiments. The graphical interface enables simple management of large experimental data sets and simple and automated analysis. NESSY automatically calculates effective transverse relaxation rate (R2eff) and performs model selection between different relaxation dispersion models. -
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FoxNuke
A Proffesional Stress-Testing(ddos) tool for pentesters
The FoxNuke program is written in python and uses Firefox in order to complete the distributed denial of service attack feature. Multiple headers are used from the Firefox browser, along with a personal configuration option for the Opera browser. The FoxNuke Program is still underdevelopment as of 8/24/17, full release is set to come out sometime during 2017-2018. If you would like to participate in the TESTING of this program and would like to help report bugs, etc. then please email leyvarosnel@gmail.com for further inquiries. ... -
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an accurate 3D representation of the solar system Planets, Comets, Asteroids and their orbits written in Python 2.7. Animation feature allows to determine positions on orbit for any past or future dates.
