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model-deployment
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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.
Boosting your Web Services of Deep Learning Applications.
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.
Starter app for fastai v3 model deployment on Render
A Beautiful Flask Web API for Yolov7 (and custom) models
Fast model deployment on any cloud 🚀
Transform your pythonic research to an artifact that engineers can deploy easily.
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Serving PyTorch models with TorchServe 🔥
Deploy DL/ ML inference pipelines with minimal extra code.