Starter app for fastai v3 model deployment on Render
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Updated
Feb 14, 2023 - Python
Starter app for fastai v3 model deployment on Render
Free MLOps course from DataTalks.Club
Simple and Distributed Machine Learning
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.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Boosting your Web Services of Deep Learning Applications.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础,致力为用户提供跨平台、简单易用、高性能的模型部署体验。
Model Deployment at Scale on Kubernetes 🦄️
BentoML Example Projects 🎨
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
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
transcripts from our recorded events
Fast model deployment on any cloud 🚀
Data Visualization, EDA , Model Building and Deployment etc..
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
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