This is the graduate thesis work for my Computer Science Major
-
Updated
Jun 2, 2024 - Java
This is the graduate thesis work for my Computer Science Major
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<solution>
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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 resuable template for Machine Learning projects
This is my repo of MLOps Zoomcamp course at Data Talks Club.
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本,跟踪与可视化你的机器学习全流程
Workflow Engine for Kubernetes
Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)
A high-throughput and memory-efficient inference and serving engine for LLMs
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Turns Data and AI algorithms into production-ready web applications in no time.
The Open Source Feature Store for Machine Learning
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Free MLOps course from DataTalks.Club
Serve, optimize and scale PyTorch models in production
Add a description, image, and links to the mlops topic page so that developers can more easily learn about it.
To associate your repository with the mlops topic, visit your repo's landing page and select "manage topics."