📦 ♃ Debian packaging of JupyterHub, a multi-user server for Jupyter notebooks

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

📓 🔧 Augmentation of the "devpi" project with ‘enterprisey’ requirements, configuration, and deployment.

Jupyter Notebook x Docker to Production on Heroku

Deploy Jupyter Notebooks in this simple Docker container directly to Railway.

"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.

Serverless for data practitioners. The fastest ⚡️ way to run your code in the cloud. Effortlessly run scripts, functions, and Jupyter notebooks in virtual machines.

Personal guide and examples to learn and use AWS SageMaker to deploy your ML model at scale.

Step-by-step Jupyter notebooks to deploy large language models on AWS SageMaker, including PyTorch model handling and endpoint setup.

A collection of end-to-end Data Science and Machine Learning projects with explanations, datasets, notebooks, and deployments.

A Django-based movie recommender that uses a trained ML model with a Jupyter notebook for customization. Features an interactive web UI with auto-suggestions and supports both local setup and cloud deployment.

Analyst Toolkit Starter: one‑zip deployment, local configs, quick notebooks.

计算机软件相关 技术索引 技术指南

收集了代码管理、代码评测、自动化部署相关资料、手册

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…

整理了一些常用的数据库相关资料、笔记与操作手册

This collection contains various projects and notebooks developed to tackle a range of Kaggle competitions, showcasing different machine learning techniques, data preprocessing methods, and model optimizations.

This Jupyter Notebook analyzes financial transactions for fraud detection. It identifies a severe class imbalance (only 0.1727% fraud). Data is preprocessed by normalizing 'Time' and 'Amount'.

总结了一些常用的中间件使用笔记