Search Results for "processing" - Page 60
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Showing 5101 open source projects for "processing"
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Introducing AudioEqualize: Elevate Your Audio Experience! AudioEqualize isn't just your average volume adjustment tool; it's a sophisticated audio wizard that goes beyond simple peak amplitude normalization. Designed to enhance your music library, AudioEqualize meticulously analyzes and precisely tunes your MP3 files to a target volume of your choice. Here's why it's the ultimate choice for audio enthusiasts:
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GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
AWK is a fascinating text-processing language, and somehow after reading the delightfully-terse The AWK Programming Language I was inspired to write an interpreter for it in Go. Licensed under MIT license Source: https://github.com/benhoyt/goawk Visit: http://albanese.atwebpages.com -
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ED Software project contains several programs used (mostly) for processing gas-phase electron diffraction (GED) experimental data.
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enhancr
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT
enhancr is an elegant and easy to use GUI for Video Frame Interpolation and Video Upscaling which takes advantage of artificial intelligence - built using node.js and Electron. It was created to enhance the user experience for anyone interested in enhancing video footage using artificial intelligence. The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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From Zero to Research Scientist guide
Detailed and tailored guide for undergraduate students
From-0-to-Research-Scientist-resources-guide is an open-source educational roadmap that helps learners progress from basic programming knowledge to becoming a research scientist in artificial intelligence. The repository focuses primarily on deep learning and natural language processing, providing structured guidance for individuals who want to pursue research careers in these fields. It compiles recommended courses, textbooks, tutorials, and academic resources needed to build expertise in machine learning research. The guide proposes different learning paths depending on whether the learner prefers a theoretical approach centered on mathematics or a practical approach based on hands-on experimentation. ... -
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AI-powered enterprise search engine
AI-powered enterprise search engine
...It enables users to search across sources such as Slack, Confluence, Jira, Google Drive, and other enterprise systems, consolidating fragmented knowledge into a single, unified search experience. By leveraging natural language processing, Gerev allows users to query information in plain English, making it easier to find answers without needing exact keywords or knowing where the data is stored. The platform indexes content from connected systems rather than relying on their native search capabilities, resulting in faster and more relevant results across large datasets. ... -
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video-subtitle-generator
A GUI tool for generating subtitle from videos, generating srt files
Video Subtitle Generator is a local speech-recognition tool that creates SRT subtitle files from audio or video. It is designed to perform transcription locally without requiring users to obtain a third-party speech API. The project supports numerous languages, including Chinese, English, Korean, Japanese, Vietnamese, Russian, Spanish, and Portuguese. Users can operate it through either a graphical interface or a command-line interface. Several recognition model sizes are available, allowing... -
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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 Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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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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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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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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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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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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oStorybook
oStorybook original, the writer's tool
oStorybook un outil pour les écrivains. ATTENTION : voir sur http://ostorybook.eu --en_EN oStorybook a tool for writers. WARNING : see on http://ostorybook.eu. -
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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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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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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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ChatGPT Advanced
Browser extension adding web search results to ChatGPT prompts easily
chatgpt-advanced, commonly known as WebChatGPT, is an open source browser extension designed to enhance the capabilities of ChatGPT by integrating real-time web search results into user prompts. It works by intercepting queries submitted to the ChatGPT interface and optionally augmenting them with information gathered from search engines before sending the prompt to the chatbot. This approach allows the model to generate responses that are more current and contextually relevant compared to... -
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Paddle Quantum
Paddle Quantum
Paddle Quantum (量桨) 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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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.
