Popular GitHub Repositories for Cicd

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

? ????? about ????, ??????, and ?????? ??? for free by designing, training, and deploying a real-time financial advisor LLM system ~ ?????? ???? + ????? & ??????? ?????????

ML pipeline orchestration and model deployments on Kubernetes.

A fully automated CI/CD pipeline that builds, tests, and deploys a Node.js application on Amazon EKS using GitHub Actions, Terraform, and Kubernetes.

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

Free GPT Auto Generate and Translate the README in Multiple Languages via CI/CD

Pipeline LLMs offline combine with own context for generating answer

Litmus is a comprehensive LLM testing and evaluation tool designed for GenAI Application Development. It provides a robust platform with a user-friendly UI for streamlining the process of building and assessing the performance of your LLM-powered applications.

Integrating Airbyte, Kafka, Airflow and MLflow on Azure Linux VMs within private network to continuously retrain LSTM Attention model with 1-minute stock prices and redeploy it on Azure ML AKS real-time inference endpoint behind serverless Azure API

Deployment template for a continuous training pipeline.

Buddy DevOps自动化运维与VS Code及其兼容扩展AI代码助理并驾齐驱

64-bit fixed point arithmatic for C# with 6-digit decimal precision. Fast, lightweight, and deterministic. Zero external dependencies.

Azure Machine Learning - MLOps Python SDKv2

Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment

These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.

This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

Deployment template for serving a ML model as web-service with a REST API.

Github Action With Gemini

Analysing Sequence Activity Relationships (SARs) of protein sequences :microscope: and their mutants using Machine Learning. :computer:

Deployment template for batch-scoring a dataset with a pre-trained ML model.