Search Results for "python feature selection" - Page 20
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Showing 857 open source projects for "python feature selection"
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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yBlog Creator
Fast, Simple Full-Featured Blog Creator in PHP. No database needed.
Designed from the ground up to take advantage of the new and increasingly standardized features of HTML5 and PHP7+, Yofiel's file-based yBlog Creator provides W3C-validated, responsive, animated page templates that work consistently on Chrome, Safari, and Edge desktops and mobiles. But its fast CSS3 and native JavaScript libraries total less than 15KB. Any HTML editor may create content. Menus and metadata are automatic. A single stylesheet provides multiple color and appearance options... -
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Self-Attentive Parser
High-accuracy NLP parser with models for 11 languages
LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention. -
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HTTP Prompt
An interactive command-line HTTP and API testing client
HTTP Prompt is an interactive command-line HTTP client featuring autocomplete and syntax highlighting. You'll never have to memorize the whole commands and HTTP headers thanks to autocomplete with fuzzy matching. Improve readability by rendering JSON, HTML and commands with 27 builtin color themes, borrowed from Pygments. Designed to work with and built on top of HTTPie, HTTP Prompt makes a perfect companion for HTTPie. Cookie-based authentication made easy as incoming cookies are... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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cookiecutter-pypackage
audreyfeldroy's Cookiecutter template for a standard Python package
This is audreyfeldroy's Cookiecutter template for a standard Python package. Note that the version hosted on SourceForge is just a clone of the original repository used to test Cookiecutter's SVN feature. It is not recommended to use this version for actual work, as it will not be updated. HTTPS: cookiecutter svn+https://svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage SVN RO: cookiecutter svn://svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage SSH (requires SourceForge login): cookiecutter svn+ssh://username@svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage Original version: https://github.com/audreyfeldroy/cookiecutter-pypackage -
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Vexed for Windows
Classic PalmPilot Vexed Puzzle newly coded for Windows
Vexed is a well known puzzle game challenging your ability to plan and think ahead to complete the puzzles made famous on the PalmPilot. Start off easy and work your way to the harder puzzle packs like the 'impossible', 'confusion', or 'panic' packs. Run Classic Vexed in Windows! Same level packs, new 'cleanroom' code for Windows implements all play features, plus more, of the original. Click sample images below to see the full window Install files are under the Files tab,... -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
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FixRes
Reproduces results of "Fixing the train-test resolution discrepancy"
FixRes is a lightweight yet powerful training methodology for convolutional neural networks (CNNs) that addresses the common train-test resolution discrepancy problem in image classification. Developed by Facebook Research, FixRes improves model generalization by adjusting training and evaluation procedures to better align input resolutions used during different phases. The approach is simple but highly effective, requiring no architectural modifications and working across diverse CNN... -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO).... -
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phpsploit
Full-featured C2 framework which silently persists on webserver
Full-featured C2 framework which silently persists on webserver via polymorphic PHP oneliner. The obfuscated communication is accomplished using HTTP headers under standard client requests and web server's relative responses, tunneled through a tiny polymorphic backdoor. Detailed help for any option (help command) Cross-platform on both client and server. CLI supports auto-completion & multi-command. Session saving/loading feature & persistent history. Multi-request support for large... -
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vim-visual-multi
Multiple cursors plugin for vim/neovim
vim-visual-multi is a plugin that brings multi-cursor functionality to Vim and Neovim similar to what many modern editors provide. Instead of only using Vim’s traditional visual or block modes, this plugin allows you to set up multiple cursors (and multiple selection spots) and perform edits simultaneously in several places at once. You can add cursors by selecting words or using vertical cursor movements, then enter insert or normal mode and your commands are replicated across all active... -
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model... -
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DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
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Linux-Intelligent-Ocr-Solution
Easy-OCR solution and Tesseract trainer for GNU/Linux
Linux-intelligent-ocr-solution Lios is a free and open source software for converting print in to text using either scanner or a camera, It can also produce text out of scanned images from other sources such as Pdf, Image, Folder containing Images or screenshot. Program is given total accessibility for visually impaired. A Tesseract Trainer GUI is also shipped with this package. Forum : https://groups.google.com/forum/#!forum/lios Video Tutorial :... -
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EasyArch
Arch Linux Installer ISO
A simple yet full featured Archlinux installer ISO. Minimum system requirements- Processor - 2 core 64 bit Ram - 1 GB HDD space - 10 GB If you are looking for another linux distro, then you are at wrong place, this is not a new or separate distribution. It is just a live ISO to provide simple and easy way to get Archlinux up and running in very little time and with or without internet connection. Yes, you read it right, you can install Archlinux without internet with this ISO.... -
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kirama
Gamelan simulator for education, written in python
Kirama is a Gamelan Simulator that can be used to study music without actual instruments. It allows computer keyboard keys to be mapped to sounds with adjustable frequencies. Therefore it simplifies the creation of microtonal sounds, which is an inherent feature of gamelan ensembles. It currently has its own additive sound synthesizer and a simple record function. -
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InAppViewDebugger
A UIView debugger (like Reveal or Xcode) that can be embedded
...The key distinction is, as the project title suggests, that this can be embedded inside the app and used on-device to debug UI issues without needing to be tethered to a computer. 3D snapshot view implemented in SceneKit: Gesture controls for zooming, panning, and rotating. Hierarchy (tree) view that synchronizes its selection with the 3D view: This is a feature I really wanted in Xcode, to be able to visually find a view and see where it is in the hierarchy view. Support for iPad and iPhone: Layouts are designed specifically for each form factor. Extensible: The base implementation supports UIView hierarchies, but this is easily extensible to support any kind of UI framework (e.g. ... -
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Bashtop
Linux/OSX/FreeBSD resource monitor
Bashtop is a resource monitor written primarily in Bash with some Python support, displaying real-time usage of system resources: CPU, memory, disks, network, and processes. It provides an interactive, visually pleasant UI in the terminal (graphs, colors, etc.), process list filtering, sorting, and controls to send signals to processes. Bashtop supports themes, configurable update intervals, and has optional dependencies to augment its functionality (e.g. for temperature, extended stats). It... -
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Magnitude
A fast, efficient universal vector embedding utility package
A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity. It is primarily intended to be a simpler / faster alternative to Gensim but can be used as a generic key-vector store for domains outside NLP. It offers unique features like out-of-vocabulary lookups and streaming of large models over HTTP. -
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Albedo
A recommender system for discovering GitHub repos
Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible... -
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Kopf
A Python framework to write Kubernetes operators
Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,...
