Search Results for "batch" - Page 3
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Showing 1812 open source projects for "batch"
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers. -
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DataChain
AI-data warehouse to enrich, transform and analyze unstructured data
...Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing. -
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mcrcon
Rcon client for Minecraft
mcrcon is console-based Minecraft rcon client for remote administration and server maintenance scripts. A remote console administration tool for Minecraft servers that enables automated server management via RCON protocol. -
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JDF.jl
Julia DataFrames serialization format
JDF is a DataFrames serialization format with the following goals, fast save and load times, compressed storage on disk, enabled disk-based data manipulation (not yet achieved), and support for machine learning workloads, e.g. mini-batch, sampling (not yet achieved). JDF stores a DataFrame in a folder with each column stored as a separate file. There is also a metadata.jls file that stores metadata about the original DataFrame. Collectively, the column files, the metadata file, and the folder is called a JDF "file". JDF.jl is a pure-Julia solution and there are a lot of ways to do nifty things like compression and encapsulating the underlying struture of the arrays that's hard to do in R and Python. ... -
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
OpenAI Quickstart Node.js is an example application designed to help developers learn how to use the OpenAI API with Node.js. The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to authenticate with an API key, send requests, and handle responses within a Node.js environment. The project is a practical starting point for building AI-powered applications, serving as a foundation for experimentation and integration into larger projects. ... -
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V2Ray-Agent
Xray, Tuic, hysteria2, sing-box
An all-in-one V2Ray/Xray agent script to automate proxy server deployment on Linux. Supports multiple protocols (VLESS, VMess, Shadowsocks, WireGuard), automatic certificate generation, CDN node management, and multi-VPS subscription configurations—often used for network optimization or censorship circumvention. -
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Hangfire
An easy way to perform background job processing
An easy way to perform background processing in .NET and .NET Core applications. No Windows Service or separate process required. Backed by persistent storage. Open and free for commercial use. Easy to set up, easy to use. No Windows Service, no Windows Scheduler, no separate applications required. Background jobs are regular static or instance .NET methods with regular arguments, no base class or interface implementation required. Once a background job was created without any exception,... -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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nodecast-tv
A self-hosted web application that lets you stream Live TV
...The project supports common playlist formats like Xtream Codes and M3U, offering fast channel switching, interactive EPG guides, and structured metadata displays for large catalogs without lag. Software architecture is optimized for smooth browsing through thousands of channels or VOD items using techniques like virtual scrolling and batch rendering to reduce client-side load. It includes user management with roles, favorites systems, and optional Single Sign-On (OIDC) support for enterprise or shared deployments. nodecast-tv also takes advantage of hardware acceleration where available and intelligently handles stream transcoding or remuxing to match browser compatibility, balancing quality and performance. -
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VidCoder
A Blu-ray, DVD and video file transcoder for Windows
...Because VidCoder integrates and automates the invocation of complex backend tools, it lowers the barrier for users who may not be comfortable with command-line workflows — offering preset profiles, configuration dialogs for bitrate, codecs, subtitles, and other media parameters. It supports batch processing so multiple videos can be queued for conversion, which is a big plus for users handling large video libraries or doing bulk transcoding. -
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IronCalc
Main engine of the IronCalc ecosystem
IronCalc is a new, modern, work-in-progress spreadsheet engine and set of tools to work with spreadsheets in diverse settings. IronCalc is a lightweight, open-source computational engine designed for performing mathematical operations, formula calculations, and data-driven tasks. -
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MonsterMusic
A music player on android platform, developed by Andoroid composer
MonsterMusic is a command-line utility to manage and download music from various online platforms. -
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432Hz Batch Converter
Converts and re-encodes music to 432Hz
...It uses a very high-quality pitch-shifting algorithm. Supports Windows (Win 7 SP1 or later) and Linux (all distros). Installation instructions https://github.com/mysteryx93/HanumanInstituteApps/wiki/432hz-Batch-Converter From Etienne Charland aka Hanuman, by a lightworker in his free time. https://www.spiritualselftransformation.com/ -
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Command & Conquer Remastered Collection
Command & Conquer: Remastered Collection
...The quickest way to build all configurations in the project is open CnCRemastered.sln in Microsoft Visual Studio (we recommend using 2017 as later versions report an error due to a packing mismatch with the Windows SDK headers) and select “Build” from the toolbar, then select “Batch Build”. Click the "Select All" button, then click the "Rebuild" button. -
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bors-ng
A merge bot for GitHub Pull Requests
...Instead of maintainers repeatedly rebasing and merging one PR at a time, bors-ng batches r+-ed PRs, triggers your existing CI (e.g., GitHub Actions), and merges automatically when the batch is green. If a batch fails, it bisects the batch into smaller runs to isolate the culprit, landing the good PRs and kicking only the failing one(s) back for fixes. The bot is implemented as a GitHub App and works alongside—rather than replacing—your CI by reporting commit statuses/checks and acting on PR comments like bors r+ or bors try. ... -
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RawTherapee
A powerful cross-platform raw photo processing program
...Users can work non-destructively: adjustments are previewed but stored separately (sidecar files) and only applied during export, which allows experimentation without altering originals. The interface includes a file browser, processing queue, editing pane with full-image previews, history stack, and batch export functionality. -
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WSA-Script
Integrate Magisk root and Google Apps into WSA
...The project provides a way to download and unpack custom builds of the WSA package that bundle these enhancements and guide users through installation using automated batch and PowerShell scripts so that Android apps requiring Google Play Services or root can run in WSA on Windows 10 or 11. Because Microsoft’s default WSA lacks these extended capabilities, WSA-Script fills a niche for enthusiasts who need a more flexible Android experience on desktop Windows, managing downloads, registrations, and configuration steps in a repeatable workflow. -
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App Store Screenshot Generator
Create screenshots for the iOS App Store
...Users can toggle between multiple device models and screenshot sizes to ensure that layouts adapt correctly to formats like iPhone 6.9”, 6.7”, 6.5”, and iPad screens, and export selections either individually or as batch ZIP files ready for upload. The tool also supports in-place text editing with access to a large font library and flexible styling controls, so headlines and subheadlines can be matched to an app’s branding. -
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OpenAI Go
The official Go library for the OpenAI API
...It enables developers to integrate OpenAI’s models and features into Go applications with a clean and idiomatic interface. The library provides support for a wide range of API endpoints including chat completions, assistants, embeddings, image generation, audio processing, and batch jobs. It includes built-in tools for handling authentication, managing API requests, and parsing structured responses. The repository also offers examples to help developers quickly set up projects and test different API calls. Designed for reliability and ease of use, it is maintained to stay aligned with the evolving OpenAI API specifications. -
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SageMaker TensorFlow Training Toolkit
Toolkit for running TensorFlow training scripts on SageMaker
...To use your TensorFlow Serving model on SageMaker, you first need to create a SageMaker Model. After creating a SageMaker Model, you can use it to create SageMaker Batch Transform Jobs for offline inference, or create SageMaker Endpoints for real-time inference. A SageMaker Model contains references to a model.tar.gz file in S3 containing serialized model data, and a Docker image used to serve predictions with that model. A Batch Transform job runs an offline-inference job using your TensorFlow Serving model. ... -
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InfiAgent
Build your own Cowork, AI Scientist and other SoTA Agents
...The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. It aims to solve real-world challenges in long-horizon reasoning and execution, offering configuration-driven customization so that users can define domain-specific agents like research assistants. -
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Memobase
Fast backend for long-term AI user memory via structured profiles
...Instead of relying purely on traditional embedding-based retrieval or RAG systems, Memobase uses profile and timeline structures to deliver memory that reflects user context efficiently and meaningfully. The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
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Another Redis Desktop Manager
A faster, better and more stable Redis desktop manager
...It supports standalone, Sentinel, and Cluster modes, plus SSH tunneling and ACL credentials for secure access in varied environments. The UI provides tree and table views of keys with inline editors for strings, hashes, lists, sets, sorted sets, and streams, including TTL management and batch operations. Built-in monitoring lets you watch stats, slow logs, and command activity while an integrated console executes raw Redis commands. Quality-of-life features include JSON viewers, search and filter tools, favorite connections, and dark mode. For everyday operations and troubleshooting, it offers a friendlier alternative to the command line without hiding Redis’s power.
