Popular GitHub Repositories for Delivery Window Finder

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

?? CML - Continuous Machine Learning | CI/CD for ML

?️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

? A practical and imaginary food delivery microservices, built with .Net 8, MassTransit, Domain-Driven Design, CQRS, Vertical Slice Architecture, Event-Driven Architecture, and the latest technologies.

批量为本地视频生成字幕文件，并可将字幕文件翻译成其它语言， 跨平台支持 window, mac 系统

A data standard to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide.

[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Oinone is an enterprise-class productization engine that combines standardized R&D and agile delivery. Drawing from Odoo's engineering philosophy while significantly enhancing no-code capabilities, for both professional developers and citizen developers./Oinone是企业级产品化引擎，以低代码和无代码驱动的标准化研发与敏捷交付一体化研发框架。借鉴Odoo的工程化理念，并在无代码能力上显著增强，即面向专业研发，又能面向公民研发。

Deep Learning Computer Vision Algorithms for Real-World Use

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

?Chat with GitHub Repo Using 200k context window of Claude instead of RAG!?

The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

Repo-level benchmark for real-world Code Agents: from repo understanding → env setup → incremental dev/bug-fixing → task delivery, with cost-aware α metric.

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

Input text from speech in any Linux window, the lean, fast and accurate way, using whisper.cpp offline. Speak with local LLMs.