Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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Updated
Jul 16, 2024 - Jupyter Notebook
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A common interface for registering, validating and auditing machine learning artifacts
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Frouros: an open-source Python library for drift detection in machine learning systems.
Curated set of MLOps tools to work with the Neu.ro MLOps platform
Connecting MLJ and MLFlow
Chassis turns machine learning models into portable container images that can run just about anywhere.
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
Sample notebooks that use the Openlayer Python API
MLOps for online machine learning using Docker and Python
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.
Python library for Modzy Machine Learning Operations (MLOps) Platform
Carefully curated list of awesome data science resources.
🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"
This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray
In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your models.
A modern, enterprise-ready business intelligence web application
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