Search Results for "processing" - Page 86
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Showing 6571 open source projects for "processing"
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MediaToolkit
A .NET library to convert and process all your video & audio files
...MediaToolkit also integrates FFprobe for retrieving detailed media information. Its lightweight design makes it easy to integrate into existing .NET projects. Overall, it offers a convenient abstraction layer for multimedia processing in C# environments. -
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ARVideoKit
Capture & record ARKit videos, photos, live photos, and GIFs
An iOS Framework that enables developers to capture videos, photos, Live Photos, and GIFs with ARKit content. In other words, you no longer have to screen record/screenshot to capture videos and photos of your awesome ARKit apps! -
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Zappa
Serverless Python
...That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. ... -
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xvideocapture chung is a free direct to divx screen capture program . It captures computer's screen images (fullscreen / window / zone) directly and instantly into very compact divx .avi video file with stereo sound , with very low cpu load. Can run on a small netbook with windows 7.I used camstudio but now i use xvideocapture , it is fast and converts directly into divx.
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Weld
High-performance runtime for data analytics applications
...This approach reduces data movement between libraries and enables the system to generate highly optimized machine code for parallel execution. Weld is particularly useful for workloads involving large-scale data processing in frameworks such as NumPy, Spark, and TensorFlow. The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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Roth
Roth is a full-stack enterprise application development framework.
...The Model and Utility components provide a simple persistence-like interface to database back-ends, without the complexity or overhead of JPA or Hibernate. The servlet component provides a simple and easy way to generate concise controller code with automatic POST processing. The Interface and Client components provide simple and easy components which reduce the code necessary to create UI pages. All components are designed to work in concert to provide a consistent code set, however you have the freedom to use portions with other frameworks as desired. Roth is a continuation and successor of the JpPortal framework. ... -
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videoshow
Simple node.js utility to create video slideshows from images
videoshow is a Node.js utility designed to create video slideshows from a sequence of images using FFmpeg as its processing engine. It allows developers to programmatically generate videos by combining images with optional audio tracks, subtitles, and visual transitions. The tool supports customization of parameters such as frame rate, resolution, bitrate, and codecs, enabling flexible output configurations. It includes both a programmatic API and a command-line interface, making it adaptable for different workflows. videoshow processes media efficiently and is used in production environments to generate large volumes of videos automatically. ... -
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Unofficial Action Cam Yi Desktop
Unofficial Action Camera Yi Desktop App
Action Camera Yi Desktop App 2nd Version is an application that can be used to control Action Camera Yi through Desktop / Computer. This application offers faster data processing. In the Features section, You can see the features offered by this app. This app has the following advantages : -Low Latency Live Streaming.You can use this application for streaming to Streaming Provider (i.e. Youtube). -Adjustable Live Streaming Video’s FPS (Frame Per Second). -Selectable Image Processing for Live Streaming Video using Faster Image Processing. ... -
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SCiDA Pro
Program for solar cell production data analysis
The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages -
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makedumpfile
make a small dumpfile of kdump
The makedumpfile project page moved to https://github.com/makedumpfile/makedumpfile. By using the makedumpfile command, it is possible to shorten the dumpfile of kdump. -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
...By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. In short, it’s a specialized, speed-focused library for industrial-strength multi-keyword matching in Java. -
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CTOSC
Tools for processing solar cell characterization data (Rsh,ECV,QSSPC)
CTOSC stands for 'Characterization Toolbox for Solar Cells' and contains a few functionalities to process solar cell data: sheet resistance mapping, making ECV data graphs, QSSPC lifetime data graphs and showing/averaging PL/EL images. For ECV/Rsh/QSSPC data the program currently supports output files from the Sunlab Sherescan four-point probe (.txt), the WEP Wafer Profiler CVP21 (.csv) and Sinton WCT-120 (.txt). -
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ksqlDB
The database purpose-built for stream processing applications
...Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. They're useful for representing a series of historical facts. Tables are mutable collections of events. They let you represent the latest version of each value per key. -
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cocoNLP
A Chinese information extraction tool
cocoNLP is a lightweight natural-language processing toolkit geared toward practical information extraction from raw text, especially for Chinese and mixed Chinese–English content. Instead of requiring a heavy pipeline, it focuses on quick wins such as extracting names, places, organizations, emails, phone numbers, and dates directly from unstructured sentences. The project blends pattern-based methods with NLP heuristics, giving developers dependable results for real-world texts like chats, comments, and user-generated content. ... -
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Top deep learning Github repositories
Top 200 deep learning Github repositories sorted by stars
...Instead of providing its own machine learning models or frameworks, the project functions as an organized index that helps users discover high-quality deep learning repositories across different application domains. The repository categorizes projects related to neural networks, computer vision, natural language processing, reinforcement learning, and other areas of artificial intelligence. By collecting popular open-source implementations in one place, the project simplifies the process of exploring cutting-edge tools and research implementations for deep learning practitioners. The curated lists are particularly helpful for developers who want to quickly identify well-maintained projects with strong community support. -
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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MoPAC
The Modular Pipeline for the Analysis of CRISPR screens
To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page. -
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PyTracking
Visual tracking library based on PyTorch
A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models. -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). ... -
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UltraDefrag
Increase your system performance with this easy to use tool
Please note, here you can find the latest open source release of UltraDefrag (7.1.4). The most recent UltraDefrag release (15.0.0) can be found on our official website: https://ultradefrag.net UltraDefrag is a disk defragmenter for Windows, which supports defragmentation of locked system files by running during the boot process. It is easy to use without any complicated scripting or a huge load of configuration settings. You can filter the files processed by size, number of fragments,... -
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NGSReadsTreatment
Note: To run the new version use Java version 13.
...The results demonstrated that NGSReadsTreatment was better than the other tools in both the amount of redundancies removed and the use of computational memory for all analyses performed. To execute the multithreaded version adding at the end of command line the number of threads that you will use for processing, it is worth mentioning that this number must be a power of 2. Note: To run the new version use Java version 13. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. -
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Anaphraseus is a CAT (Computer Aided Translation) tool, OpenOffice.org 2-3 macro set for OpenOffice/LibreOffice Writer similar to famous Wordfast. It works with the Wordfast Translation Memory format (*.TXT), and supports text segmentation.
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PyResParser
A simple resume parser used for extracting information from resumes
PyResParser is a simple resume parser that extracts information from resumes, aiding in the automation of resume-processing tasks.
