Search Results for "processing" - Page 30
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Showing 5098 open source projects for "processing"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to... -
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AI_Tutorial
A selection of learning materials, search, recommendation, advertising
AI_Tutorial is a large curated repository that aggregates high-quality learning resources related to artificial intelligence, machine learning, deep learning, natural language processing, and data engineering. The project functions as a centralized knowledge base designed to help engineers and researchers discover tutorials, technical articles, algorithm explanations, and architecture discussions from across the AI ecosystem. Rather than focusing on a single framework or course, the repository collects materials from many sources such as open-source projects, technical blogs, research papers, and industry engineering posts. ... -
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RF-DETR
RF-DETR is a real-time object detection and segmentation
...RF-DETR emphasizes strong performance across both accuracy and latency benchmarks, allowing developers to deploy high-quality detection models in applications that require immediate processing such as robotics, autonomous systems, and industrial inspection. The repository includes Python packages, training scripts, and model configurations that enable researchers and engineers to train and deploy detection models on custom datasets. -
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LandPPT
An LLM-based presentation generation platform
...The system allows users to create complete PowerPoint presentations simply by entering a topic or uploading source documents such as PDFs, Word files, or Markdown notes. Using natural language processing and structured content generation, the platform produces presentation outlines and converts them into fully formatted slide decks. The application integrates multiple AI models from providers such as OpenAI, Anthropic, Google, and locally hosted models to generate text, images, and structured presentation layouts. It also includes template systems and style options that allow presentations to be customized for different industries, visual themes, or storytelling formats. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Fincept Terminal
FinceptTerminal is a modern finance application
...The project provides both command-line and graphical interfaces that let users access real-time market data, economic indicators, and advanced analytics directly from a unified terminal environment, supporting stocks, forex, commodities, and more. Its architecture integrates Python, TypeScript, Rust, and React, reflecting both a robust data processing backend and a modern desktop UI experience. FinceptTerminal emphasizes AI-powered insights and automation, offering technical and fundamental analysis, sentiment data, and customizable workflows that help traders and analysts make informed decisions efficiently. The platform’s open-source nature encourages contributors to build new data connectors, analytics modules, and documentation. -
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NovaSR
A lightning fast audio upsampler
...At only about 50 KB in size, the model is orders of magnitude smaller than typical audio super-resolution networks, yet it achieves high quality and realtime performance thanks to its compact architecture and efficient convolutional design. NovaSR is especially valuable for post-processing tasks in speech enhancement, TTS pipelines, and dataset restoration where low sampling rates degrade perceived audio clarity; the minimal model size also makes it suitable for edge and embedded use cases where memory is at a premium. Its performance can reach thousands of times realtime on modern GPUs, allowing massive audio batches to be processed with negligible compute overhead. -
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Note67
A private, local meeting notes assistant
...Users can record meetings directly from their microphone, view live transcriptions, filter by speaker, and export structured summaries, making it useful for professionals who need searchable, organized records of discussions. It also features thoughtful signal processing such as voice activity detection and echo deduplication to improve transcription accuracy, and provides standard note-taking features. -
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Algora TV
Open source Twitch for developers
...The system integrates with GitHub for authentication and uses Tigris for media storage and delivery, with optional support for services like FFmpeg, ImageMagick, and OBS Studio for livestream testing and video processing. The repository includes all setup instructions, from environment configuration to database initialization, making it accessible for developers to self-host or experiment locally. -
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Codespell
Check code for common misspellings
Codespell is a lightweight, open-source spell checker designed specifically for detecting and correcting common misspellings in source code, documentation, and text files. Unlike traditional spell checkers, Codespell is optimized for codebases, ensuring that it correctly identifies and suggests fixes for typographical errors without introducing false positives. It integrates easily into CI/CD pipelines, enabling developers to maintain clean and professional code and documentation. By... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Semantic Router
Superfast AI decision making and processing of multi-modal data
Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables... -
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django-rest-framework-gis
Geographic add-ons for Django REST Framework
...This field handles GeoDjango geometry fields, providing custom to_native and from_native methods for GeoJSON input/output. While precision and remove_duplicates are designed to reduce the byte size of the API response, they will also increase the processing time required to render the response. This will likely be negligible for small GeoJSON responses but may become an issue for large responses. The primary key of the model (usually the "id" attribute) is automatically used as the id field of each GeoJSON Feature Object. The GeoJSON specification allows a feature to contain a boundingbox of a feature. ... -
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
...Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model and optimization tool depending on your task. In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. ... -
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Absinthe
The GraphQL toolkit for Elixir
...Absinthe schemas are defined using easy-to-read macros that build and verify their structure at compile-time, preventing runtime errors and increasing performance. The entire query processing pipeline is configurable. Add, swap out, or remove the parser, individual validations, or resolution logic at will, even on a per-document basis. Absinthe includes a number of advanced resolution features. -
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations... -
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OpenAI .NET
The official .NET library for the OpenAI API
OpenAI .NET is the official client library for calling the OpenAI REST API from C# and other .NET languages, with first-class support for modern .NET patterns. It provides strongly typed clients across API areas (chat, audio, images, embeddings, moderations, batches, files, models, vector stores, responses, realtime, assistants) and works with .NET Standard 2.0 while the examples use .NET 8. You install it via NuGet and authenticate with an API key, ideally through environment variables or... -
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Faraday
Simple, but flexible HTTP client library, with support for backends
Faraday is an HTTP client library abstraction layer that provides a common interface over many adapters (such as Net::HTTP) and embraces the concept of Rack middleware when processing the request/response cycle. You probably don't want to use Faraday directly in your project, as it will lack an actual client library to perform requests. Instead, you probably want to have a look at Awesome Faraday for a list of available adapters. The best starting point is the Faraday Website, with its introduction and explanation. ... -
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Algorithms & data structures project
A collection of algorithms and data structures
Algorithms is an educational collection of data structures and algorithms implemented primarily in Java. Its goal is to demonstrate common techniques through clear and elegant reference implementations. The repository covers trees, heaps, hash tables, graphs, dynamic programming, geometry, searching, sorting, strings, and many other topics. Complexity information is documented for many algorithms to help users understand performance characteristics. Implementations can be compiled with a... -
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ChatPaper
Use ChatGPT to summarize the arXiv papers
...It can retrieve recent arXiv papers based on keywords and time ranges for topic-focused research. Related tools can generate literature reviews, suggest paper titles, and turn papers into structured notes. Local PDF processing and online deployment options make the toolkit useful across different research environments. -
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Sov.ai
A curated list of practical financial machine learning tools and apps
...It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. The main README highlights top-ranked items, while the wiki contains the larger catalogue. Repository and link status information is updated automatically as the collection changes. ... -
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scrape-it
A Node.js scraper for humans
scrape-it is a Node.js library for converting web pages and HTML documents into structured JavaScript objects. Developers describe the desired output through a declarative schema based on CSS selectors. Fields can extract text, raw HTML, element attributes, repeated items, and nested lists. Conversion functions can transform captured values into dates, numbers, or other application-specific types. The library supports promises, async and await workflows, and callback-based usage. It can... -
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JavaCore
JavaCore is a summary of experience with Java core technologies
JavaCore is a Chinese-language tutorial focused on the essential technologies and runtime concepts behind Java development. It begins with syntax, data types, object-oriented programming, methods, arrays, exceptions, generics, reflection, annotations, and strings. Advanced material covers regular expressions, encoding, encryption, internationalization, Java 8 features, and the service provider interface. Separate sections explain collections, streams, traditional I/O, NIO, serialization,... -
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ffmpy
Pythonic interface for FFmpeg/FFprobe command line
...The library uses Python’s subprocess module to run compiled commands, ensuring compatibility with standard FFmpeg installations. It is designed for developers who want to automate media processing tasks without manually writing complex command strings. ffmpy supports flexible argument configuration, enabling a wide range of transcoding and analysis workflows. Its lightweight design makes it suitable for scripting, automation, and integration into larger Python applications. -
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FFmpeg Cheat Sheet
A categorized collection of FFmpeg commands for video automation
FFmpeg Cheat Sheet is a curated collection of commonly used FFmpeg commands and examples designed to help users quickly understand and apply multimedia processing tasks. It serves as a reference guide for operations such as transcoding, trimming, resizing, and streaming. The repository organizes commands into categories, making it easier to find solutions for specific use cases. It is particularly useful for beginners who want to learn FFmpeg syntax and workflows without reading extensive documentation. ... -
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nesa
Run AI models end-to-end encrypted
nesa is an open-source initiative focused on building decentralized AI infrastructure that enables secure, verifiable, and privacy-preserving machine learning and inference across distributed environments. The project aims to address key challenges in modern AI systems, such as data privacy, trust, and centralization, by leveraging cryptographic techniques and decentralized architectures. NESA allows developers to run AI computations in a way that ensures data integrity and confidentiality,... -
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RuleGo
Component orchestration rule engine framework for Go
...It’s lightweight, embeddable, orchestration-ready, and built for flexible composition of business logic into reusable components. No external middleware dependencies, efficient data processing and linkage on low-cost devices, suitable for IoT edge computing. Embedded and Standalone Deployment modes. Supports embedding RuleGo into existing applications. It can also be deployed independently as middleware, providing rule engine and orchestration services.
