Search Results for "processing" - Page 65
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Showing 6570 open source projects for "processing"
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auto-subtitle
Automatically generate and overlay subtitles for any video
auto-subtitle is a Python-based command-line tool that automatically generates and overlays subtitles on video files using AI-driven speech recognition. It combines FFmpeg with OpenAIโs Whisper model to transcribe spoken audio into text and synchronize it with video playback. The tool processes video input, extracts audio, and produces subtitle files that can be either exported separately or burned directly into the final video output. It supports multiple transcription models with varying... -
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
...Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. ... -
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The Scientific Image Analysis (SIA) software is an image processing application written in MATLAB for scientific analysis of images and video. SIA is designed to be intuitive and easy to use, and is free to download. While SIA is designed to meet the image processing needs of biologists, its functionalities can be used for a wide variety of applications. With SIA, users can calibrate and make single and continuous measurements of length, angle, area and the average color values within a region. ...
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The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. -
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Transducers.jl
Efficient transducers for Julia
Transducers are transformations of "sequence" of input that can be composed very efficiently. The interface used by transducers naturally describes a wide range of processes that is expressible as a succession of steps. Furthermore, transducers can be defined without specifying the details of the input and output (collections, streams, channels, etc.) and therefore achieves a full reusability. Transducers are introduced by Rich Hickey, the creator of the Clojure language. His Strange Loop... -
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The HaskellR project
The full power of R in Haskell
The HaskellR project provides an environment for efficiently processing data using Haskell or R code, interchangeably. HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
...Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. The framework has been evaluated on widely used datasets such as KITTI and nuScenes and demonstrates strong performance compared with more complex tracking systems. -
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oStorybook
oStorybook original, the writer's tool
oStorybook un outil pour les รฉcrivains. ATTENTION : voir sur http://ostorybook.eu --en_EN oStorybook a tool for writers. WARNING : see on http://ostorybook.eu. -
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mystic-crypt is designed as a Java library that can be used for simple and complex encryption and decryption. The source code for the library is available under https://github.com/astrapi69/mystic-crypt For demonstration what the library can do there is a graphical client: The source code for the ui is available under https://github.com/astrapi69/mystic-crypt-ui
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RasterPS
Basic Digital Image Improvement and Processing
RasterPS allows to process digital Images. The common Image File Formats are supported. Fundamental Functions like Histogram, Conversion, Point Operations, Filtering, geometric Transformations and Image Analysis are implemented. A basic Image Manager retrieves file attributes from digital images. -
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MantaRay Forensics
An Open Source Project | Since 2013 | SANS SIFT Automation | Hash Sets
MantaRay Forensics | An Open Source Project | Since 2013 | SANS SIFT Automation | Hash Sets MantaRay is designed to automate processing forensic evidence with open source tools. Released in SIFT 3.0 in 2013, with support for numerous image formats, the tool provides a scalable framework to utilize open source and custom exploitation tools. MantaRay is developed by forensic examiners with more than 30 years of collective experience in computer forensics. Additionally, the team releases a refined VirusShare.com hash set quarterly with incremental updates between major releases. ... -
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javaboy-code-samples
Collection of Java code examples and demo projects
...Rather than focusing on a single application, it groups many small sample programs and projects that exemplify usage of Java core APIs, Spring Boot, frameworks like GRPC and Shiro, REST services, JWT, web security, caching, asynchronous processing, and database interactions. Each sample serves as a compact learning unit for a specific technology or pattern, allowing developers to explore one concern at a time without navigating a massive codebase. The repository often accompanies blog posts and tutorials, helping developers learn by reading articles and examining the corresponding code side-by-side. ... -
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SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
...The objective is to identify and categorize the feelings and emotions expressed in the text, comparing the human perception of the characters' personalities with the results obtained using natural language processing techniques. -
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crawly
High-level web crawling and scraping framework for Elixir apps
...It also supports extensibility through middlewares, pipelines, and fetchers that allow customization of request handling, data processing, and crawling behavior. -
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SPTK is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis filter, vector quantization techniques, and other extended versions of them.
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Transformers-Interpret
Model explainability that works seamlessly with Hugging Face
Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance. -
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textacy
NLP, before and after spaCy
textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after. -
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Paddle Quantum
Paddle Quantum
Paddle Quantum (้ๆกจ) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing... -
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Cetus
Cetus is a high performance middleware that provides routing
...Multi-process lock-free improves operating efficiency. Supports transparent backend connection pooling. Support SQL read-write separation. Support data sub-database. Support distributed transaction processing. Support insert batch operations. Support for conditional distinct operations. Enhanced SQL route parsing and injection. -
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Problems for Spring MVC
A library for handling Problems in Spring Web MVC
Problem Spring Web is a set of libraries that makes it easy to produce application/problem+json responses from a Spring application. It fills a niche, in that it connects the Problem library and either Spring Web MVC's exception handling or Spring WebFlux's exception handling so that they work seamlessly together, while requiring minimal additional developer effort. In doing so, it aims to perform a small but repetitive task โ once and for all. -
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Madedit-Mod
MadEdit-Mod is a cross platform Text/Hex editor based on MadEdit
Madedit-Mod is a cross platform text/hex editor base on MadEdit with a log of critical bug fix from me or other developers. A lot of new features were added, such as Drag-Drop Edit(cross platform), Highlight word, etc. The reason that I maintained this project is that the author of MadEdit had not worked on it for for a long time and I really like it and need more features. Find more information on Wiki pages. Currently supported Languages: English Chinese Simplified... -
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picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy
...The project uses a small amount of code to illustrate the essential mathematical operations involved in training and running a transformer-based neural network. Because the code is intentionally lightweight, it is often used as a teaching resource for students learning about natural language processing and deep learning architectures. Developers can explore the repository to understand how language models generate text and how transformer components interact within the architecture. -
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Ink
A fast and flexible Markdown parser written in Swift.
...It uses error handling as part of its control flow, allowing the parser to efficiently decide whether to advance or rewind when processing different Markdown constructs. Ink is intended to be both production-ready and developer-friendly, encouraging users to explore and extend its functionality as needed.
