Search Results for "python feature selection" - Page 16

Showing 614 open source projects for "python feature selection"

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  • 1
    Tail File And Send

    Tail File And Send

    Tail some files, change the selection text and send all text selection

    Downloads: 0 This Week
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  • 2
    Image Super-Resolution (ISR)

    Image Super-Resolution (ISR)

    Super-scale your images and run experiments with Residual Dense

    ...Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. This can be controlled by the loss weights argument. The weights used to produce these images are available directly when creating the model object. ISR is compatible with Python 3.6 and is distributed under the Apache 2.0 license.
    Downloads: 0 This Week
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  • 3
    Miasm

    Miasm

    Reverse engineering framework in Python

    The Miasm intermediate representation is used for multiple task: emulation through its jitter engine, symbolic execution, DSE, program analysis, but the intermediate representation can be a bit hard to read. We will present in this article new tricks Miasm has learned in 2018. Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout...
    Downloads: 0 This Week
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  • 4
    Jarvis

    Jarvis

    Personal Assistant for Linux and macOS

    ...To specify compatibility constraints, use the require-feature.
    Downloads: 223 This Week
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  • 5
    MLBox

    MLBox

    MLBox is a powerful Automated Machine Learning python library

    MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation.
    Downloads: 0 This Week
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  • 6
    tkcalendar

    tkcalendar

    Calendar widget for Tkinter

    tkcalendar is a python module that provides the Calendar and DateEntry widgets for Tkinter. The DateEntry widget is similar to a Combobox, but the drop-down is not a list but a Calendar to select a date. tkcalendar is compatible with both Python 2 and Python 3. It support all locale settings supported by the system and the colors are customizable.
    Downloads: 6 This Week
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  • 7
    Torchreid

    Torchreid

    Deep learning person re-identification in PyTorch

    Torchreid is a library for deep-learning person re-identification, written in PyTorch and developed for our ICCV’19 project, Omni-Scale Feature Learning for Person Re-Identification. In "deep-person-reid/scripts/", we provide a unified interface to train and test a model. See "scripts/main.py" and "scripts/default_config.py" for more details. The folder "configs/" contains some predefined configs which you can use as a starting point. The code will automatically (download and) load the...
    Downloads: 2 This Week
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  • 8
    YouTube-8M

    YouTube-8M

    Starter code for working with the YouTube-8M dataset

    youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured...
    Downloads: 2 This Week
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  • 9
    ELI5

    ELI5

    A library for debugging/inspecting machine learning classifiers

    ELI5 is a Python library designed to help developers interpret, debug, and explain the predictions of machine learning models. The project focuses on improving model transparency by providing tools that visualize feature importance and prediction reasoning. It supports several popular machine learning frameworks including scikit-learn, XGBoost, LightGBM, CatBoost, and Keras.
    Downloads: 0 This Week
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  • 10
    platformids

    platformids

    OS and Distribution Release Enumeration

    The ‘platformids‘ package provides the categorization and enumeration of OS platforms and distributions. This enables the development of portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The introduced hierarchical bitmask vectors enable for fast and efficient platform specific code and data selection for OS and distributions with routines for specific platform releases. The supported...
    Downloads: 0 This Week
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  • 11
    Light Bright in Python

    Light Bright in Python

    The classic toy reinvented in free software!

    ...I had a blast making it and I hope everyone enjoys this FOSS just as much. The simple design and well-commented code is a great example of turning an everyday object into a shareable program for others to enjoy. Requires Python 3.7 and Pygame 1.9.6. These are FREE: Python Download: https://www.python.org/downloads/ Python/Pygame install YouTube tutorial: https://www.youtube.com/watch?v=AdUZArA-kZw
    Downloads: 0 This Week
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  • 12
    raxmlGUI
    RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/ raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood. A userfriendly graphical front-end for phylogenetic analyses using RAxML (Stamatakis, 2006). Please cite: Silvestro, Michalak (2012) - raxmlGUI: a graphical front-end for RAxML. Organisms Diversity and Evolution 12, 335-337. DOI:...
    Downloads: 12 This Week
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  • 13
    AIAlpha

    AIAlpha

    Use unsupervised and supervised learning to predict stocks

    AIAlpha is a machine learning project focused on building predictive models for financial markets and algorithmic trading strategies. The repository explores how artificial intelligence techniques can analyze historical financial data and generate predictions about asset price movements. It provides a research-oriented environment where users can experiment with data processing pipelines, model training workflows, and quantitative trading strategies. The project typically involves collecting...
    Downloads: 0 This Week
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  • 14

    ewi4000s-editor

    Patch editor for the Akai EWI 4000s electronic wind instrument

    Downloads: 1 This Week
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  • 15
    RoboSat

    RoboSat

    Semantic segmentation on aerial and satellite imagery

    RoboSat is an end-to-end pipeline written in Python 3 for feature extraction from aerial and satellite imagery. Features can be anything visually distinguishable in the imagery for example: buildings, parking lots, roads, or cars.
    Downloads: 0 This Week
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  • 16
    FID score for PyTorch

    FID score for PyTorch

    Compute FID scores with PyTorch

    This is a port of the official implementation of Fréchet Inception Distance to PyTorch. FID is a measure of similarity between two datasets of images. It was shown to correlate well with human judgement of visual quality and is most often used to evaluate the quality of samples of Generative Adversarial Networks. FID is calculated by computing the Fréchet distance between two Gaussians fitted to feature representations of the Inception network. The weights and the model are exactly the same...
    Downloads: 104 This Week
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  • 17
    CTS Surveyor

    CTS Surveyor

    Foot traffic and facial analytics for your business and home

    Surveyor is a software solution that monitors its environment via camera and gathers demographic information about the public in the surrounding area, providing important statistics such as number of people passing by as well as providing facial analytics to classify the pedestrians based on their age and gender. The statistical data is stored in a local database and is made available via RESTful API’s, and easy integration with other applications can be accomplished via a WebSocket...
    Downloads: 1 This Week
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  • 18
    Active Learning

    Active Learning

    Framework and examples for active learning with machine learning model

    ...The main experiment runner (run_experiment.py) supports a wide range of configurations, including batch sizes, dataset subsets, model selection, and data preprocessing options. It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. The framework integrates with both classical machine learning models (SVM, logistic regression) and neural networks.
    Downloads: 2 This Week
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  • 19
    tkFileBrowser

    tkFileBrowser

    File browser for Tkinter

    tkFileBrowser is an alternative to tkinter.filedialog that allows the user to select files or directories. The GUI is written with tkinter but the look is closer to GTK and the application uses GTK bookmarks (the one displayed in nautilus or thunar for instance). This filebrowser supports new directory creation and filtype filtering.
    Downloads: 3 This Week
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  • 20
    Walle 2.0

    Walle 2.0

    Walle 2.0 web

    Support multi-project, multi-environment one-click deployment and online, one-click quick rollback. Online order application, review, deployment, and real-time operation logs. Permissions, notifications, file fingerprints. Independent space resources like gitlab. Custom environment, environment variables. Project administrator, a notification mechanism, custom hooks in each process. Get through server management, grayscale release. Advanced gitlab-like user management mode. Online order...
    Downloads: 0 This Week
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  • 21

    BCAW Tool

    Bio Codon Analysis Workflow Tool

    BCAWT was developed using python 3.7 with build in and third-party modules. The usage of BCAWT is made to be very easy where users have only to input a fasta format file containing genes to be analyzed, and a bunch of analysis will be performed with 23 different output files
    Downloads: 0 This Week
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  • 22
    brother_ql

    brother_ql

    Python package for raster language protocol of the Brother QL series

    A Python package to control Brother QL label printers. It implements the raster language of those printers and allows you to send instruction files to your printer. In more details, the following is possible with this package. Create raster language files for the Brother label printers. They can be created from image files or programmatically in your own Python script.
    Downloads: 1 This Week
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  • 23
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
    Downloads: 0 This Week
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  • 24
    VividSTORM

    VividSTORM

    Correlated confocal and SMLM data visualization and analysis

    VividSTORM is a free and open-source standalone software with graphical user interface, for the correlated visualization and analysis of superresolution single molecule localization microscopy (SMLM) molecule lists and conventional pixel intensity-based images. The localization points (LPs) within this ROI can be analyzed using the selected built-in functions. NOTE: If you encounter issues not addressed by the user guide, please contact by message on this site or via e-mail for...
    Downloads: 1 This Week
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  • 25
    Dynamic Routing Between Capsules

    Dynamic Routing Between Capsules

    A PyTorch implementation of the NIPS 2017 paper

    Dynamic Routing Between Capsules is a PyTorch implementation of the Capsule Network architecture originally proposed to address limitations in traditional convolutional neural networks. Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository...
    Downloads: 0 This Week
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