Search Results for "feature extraction"
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Showing 89 open source projects for "feature extraction"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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FeAture Explorer (FAE), a radiomics (or medical analysis) tool that helps radiologists extract features, preprocess feature matrix, develop machine learning models (Binary Classification & Survival Analysis) with one-click, and evaluate models qualitatively and quantitatively. This project was inspired on the Radiomics, and provides a GUI with convenient process. FAE was initially developed by East China Normal University and Siemens Healthineers Ltd. If FAE could help in your project, We...
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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... -
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DevHub Application
A feature-rich offline application
A feature-rich offline application, carefully crafted to support developers' daily tasks and ensure the highest security for their data. I am actively developing it with a bold goal in mind: to release updates weekly. I strive to maintain a lean footprint, aiming to curate an extensive collection comprising over 100 utilities, providing developers with a diverse array of tools. This initiative reflects my commitment to continuous improvement, offering rich tools to empower developers. DevHub... -
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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". -
Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
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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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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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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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spacy-llm
Integrating LLMs into structured NLP pipelines
Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP... -
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DeepCamera
Open-Source AI Camera. Empower any camera/CCTV
... technologies to detect intruders with traditional surveillance cameras. The source code is here It leverages Yolov7 as a person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart homes with AI technology. -
Stop messing with tools that aren’t designed to amplify volunteer programs. With VolunteerMatters, it’s a delight to manage everything in one place.
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Vearch
A distributed system for embedding-based vector retrieval
... with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
... to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc. -
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FFmpeg Batch AV Converter
Free all in one audio/video ffmpeg batch encoder
FFmpeg Batch AV Converter is a free universal audio and video encoder, that allows to use the full potential of ffmpeg command line with a few mouse clicks in a convenient GUI with drag and drop, progress information. Some fancy wizards make things easy for non-experts. Thanks to its multi-file encoding feature, it may be the fastest a/v batch encoder available, since it maximizes system resources usage by launching as many simultaneous processes up to user cpu thread count. You can change... -
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OpenKM Document Management - DMS
Document Management System and Content Management System
.... Due to its technological architecture design, OpenKM meets the document management needs of businesses of all sizes (from SMEs to big corporations). Thanks to its elegant and intuitive interface, OpenKM transforms complex operations into easy tasks. The most relevant functions of OpenKM is the indexing of the most common types of files: text, Office, Office 2007, OpenOffice, PDF, HTML, XML, MP3, JPEG, etc. For a complete feature list take a look at http://goo.gl/au8cQy -
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Dual panel Android file manager (like Norton or Total Commander). Aside the /sdcard it works with FTP servers, Windows (Samba) network shares (with a plug-in), ZIP archives, etc. Lots more features and customization settings are there. Feel free to add a feature request here: http://tinyurl.com/gc-user Report bugs and issues: http://tinyurl.com/gc-issue
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Baymax toOls for x64dbg
the feature code extraction and search plug-in for x64dbg
BaymaxTools is a feature code extraction and search plug-in for x64dbg debugger. it is convenient to extract the signature of the specified instruction and the number of occurrences of the signature in the search module. -
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Ominis-Osint
Ominis OSINT: Secure Web-history Search
Ominis OSINT Secure Web-history Search stands as a premier solution for digital reconnaissance, offering unparalleled capabilities in gathering, analyzing, and interpreting publicly available information sourced from diverse online platforms. With its comprehensive suite of features, Ominis equips users to navigate through the expansive digital landscape with precision and efficiency, enabling the extraction of valuable insights from a myriad of sources. -
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Honeyview
Fast and lightweight image viewer
Honeyview is a fast and lightweight image viewer that supports a wide range of image formats, including popular ones like JPG, PNG, and BMP, as well as less common formats such as PSD and RAW. Designed for users who need an efficient tool for viewing and organizing images, Honeyview provides a clean and intuitive interface with high-speed performance. It also supports viewing images within compressed archives, such as ZIP or RAR files, without the need for extraction. Additionally, Honeyview... -
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audioFlux
A library for audio and music analysis, feature extraction.
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 study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc. -
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FUNseq
Cell segmentation/tracking for determing aggresive cancer phenotypes
This page shows the cell segmentation/tracking program for FUNseq pipeline. Identifying a sparse subset of cancer cells from a large heterogeneous population, based on aggressive phenotypes (like invasive migration, multipolar divisions, or asymmetric lineage development) is challenging. Also, such aberration identification is critical, as cells exhibiting these characteristics are linearly correlated with poor prognosis. A high-throughput screening microscope has been developed in our... -
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pwwAutoVision
Non-standard automated vision software
The only software that integrates vision and motion, as well as interfaces and reports, is developed with zero code and comes with online debugging. Link：https://pan.baidu.com/s/1vsTptn_pvtbK2sDhWVCZJg code：1234 -
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Multiple Excel Sheet Combiner Free
Multiple Excel combiner including sheets with large data
.... This feature is useful for data consolidation and analysis. 4. Starting Row Selection: Users can specify the starting row for data extraction from each sheet, allowing flexibility in handling different data structures. 5. Output Format Options: The application provides options to save the combined data in various formats, including CSV, Excel, and text files, giving users flexibility in how they want to store and share the data. 6. User-Friendly GUI: The graphical user interface (GUI -
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affe
apple fruit feature extractor (affe)
The apple fruit features extractor (affe) is a tool for feature extraction in apple phenotyping under the GPL 3 license https://opensource.org/license/gpl-3-0 It works on data of the Fruitphenobox https://www.researchsquare.com/article/rs-2632704/v1 Developed and tested by Norbert Kirchgessner, ETH Zurich using Matlab 2018b as source code and compiled For the generation of fact sheets, some R skripts written by Marius Hodel, Agroscope Wädenswil, Switzerland, are included. If you find... -
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Hugging Face Transformer
CPU/GPU inference server for Hugging Face transformer models
Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI.... -
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SynWrite
Advanced text editor for programmers and Notepad replacement.
SynWrite is a free source code editor, HTML editor, and Notepad replacement for Windows systems. It is a full-featured alternative not only to simple Notepad, but also to professional editors. -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
... 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.