#Model-deployment
Showing 21 of 21 repositories tagged #model-deployment, ranked by stars
Free MLOps course from DataTalks.Club
Simple and Distributed Machine Learning
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
AI-Native & Cloud-Native FS: A high-performance file semantic layer for cloud object storage, integrated with high-speed cache
Model Deployment at Scale on Kubernetes 🦄️
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Transform your pythonic research to an artifact that engineers can deploy easily.
BentoML Example Projects 🎨
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Software Development Kit (SDK) for the Geti™ platform for Computer Vision AI model training.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
A collection of model deployment library and technique.
A ready-to-use notebook!
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
AI lifecycle platform for classical ML and agentic systems. Versioned, encrypted registries for data, models, experiments, prompts, agents, MCPs, and skills. Pre/deploy/post-deployment patterns. Real-time monitoring and evaluation via Scouter. Rust core, governed by design
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained
All the material from the Udemy course "Beyond Jupyter Notebooks"