RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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Updated
Jun 4, 2024 - Python
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
Simple and Distributed Machine Learning
Free MLOps course from DataTalks.Club
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.
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Solutions to the MLOps Zoomcamp course
Client interface for all things Cleanlab Studio
This repository contains the notes, practice and sample outputs, homeworks, etc, from DataTalks.Club's MLOps Zoomcamp 2024 Cohort
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。
This repository houses my solutions to a diverse range of machine learning assignments and projects completed during the ML Zoom Camp , and MLOps Zoom Camp, a comprehensive machine learning boot camp.
🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯
A lambda to deploy a machine learning model inference via serverless. Will create a new model, endpoint configuration and serverless endpoint configuration within AWS SageMaker.
Resources of our survey paper "Enabling AI on Edges: Techniques, Applications and Challenges"
A common interface for registering, validating and auditing machine learning artifacts
transcripts from our recorded events
Integration of a trained sentiment classification model into a Flask web app for real-time inference on product reviews from Flipkart store.
Model Deployment at Scale on Kubernetes 🦄️
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Intrusion Detection in KDD dataset
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