RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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Updated
Jun 2, 2024 - Python
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Free MLOps course from DataTalks.Club
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Solutions to the MLOps Zoomcamp course
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.
Client interface for all things Cleanlab Studio
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
This repository contains the notes, practice and sample outputs, homeworks, etc, from DataTalks.Club's MLOps Zoomcamp 2024 Cohort
Simple and Distributed Machine Learning
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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