4 مستودعات
Mechanisms for declaring and installing packages within notebook environments to ensure reproducible execution.
Distinguishing note: No candidate covers notebook-specific dependency management via Mix.install; closest candidates are about audio mixing.
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Livebook is an interactive notebook platform for Elixir that provides a web-based environment for writing and running code cells alongside Markdown content, visualizations, and reproducible workflows. It serves as a multi-cloud auto-clustering tool that automatically discovers and joins Elixir nodes into clusters across Kubernetes, AWS ECS, and Fly.io for distributed execution, and also functions as a notebook deployment tool that packages notebooks into standalone web applications with authentication, secrets, and Docker support. The platform enables real-time collaborative editing, synchron
Provides Mix.install/2 for declaring and installing Hex packages directly within notebooks.
هذا المشروع عبارة عن مجموعة شاملة من الموارد التعليمية والمناهج المنظمة لتعلم الذكاء الاصطناعي والتعلم العميق. يوفر منهجاً لتعلم الآلة يتكون من مواد محاضرات ودفاتر ملاحظات تفاعلية تركز على تنفيذ النماذج باستخدام إطار العمل PyTorch. يتبع التصميم التعليمي نهج "الكود أولاً"، حيث يقوم الطلاب بتنفيذ نماذج عملية قبل دراسة الرياضيات النظرية الكامنة وراءها. يتم تقديم المنهج عبر مستندات قابلة للتنفيذ تجمع بين الكود الحي، والمعادلات، والنصوص السردية لتوجيه عملية تنفيذ ونشر الشبكات العصبية. يتضمن المشروع أتمتة لتوفير بيئات التعلم العميق على خوادم محلية أو سحابية. ويستخدم إدارة التبعيات مع تثبيت الإصدارات لضمان تنفيذ دفاتر الملاحظات بشكل متسق عبر بيئات الحوسبة المختلفة.
Manages the specific library versions required for educational notebooks to ensure reproducible execution.
Pluto.jl is a reactive computing environment for Julia that functions as a programmable document format. It serves as an interactive data science IDE and a polyglot computational notebook that stores Julia code and environment dependencies as versionable source files. The system is distinguished by its reactive execution model, which uses a directed acyclic graph to track variable dependencies and automatically re-evaluate affected downstream cells when a value changes. It ensures reproducibility by integrating isolated package environments directly within the notebook file and persisting con
Declares and installs required packages directly within the notebook file to ensure a reproducible execution environment.
Kotlin Jupyter is an interactive computing environment that enables the execution of Kotlin code within Jupyter notebooks. It functions as a kernel for the Java Virtual Machine, providing a platform for data analysis, rapid prototyping, and scientific computing research. The system manages the evaluation of code snippets by compiling them dynamically at runtime, allowing for real-time interaction and variable inspection. The project distinguishes itself through a sophisticated code transformation pipeline that intercepts and modifies user input to support custom syntax and automated logic. It
Manages external library imports and classpaths directly within the interactive document-based workflow.