Topic: machine-learning-operations Goto Github
Some thing interesting about machine-learning-operations
Some thing interesting about machine-learning-operations
machine-learning-operations,The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time data pipeline flow is as follows: 1.Tweets are collected and stored in a database. 2.The sentiment of the tweets is analyzed. 3.The tweet sentiment is posted on a Slack channel using a Slack bot.
User: abhisrn1986
machine-learning-operations,Kueski Challenge - Vacante de Machine Learning Engineer
User: alejandrodebus
machine-learning-operations,A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes π
Organization: awesome-mlops
machine-learning-operations,Chassis turns machine learning models into portable container images that can run just about anywhere.
Organization: chassisml
Home Page: https://chassisml.io/
machine-learning-operations,Machine learning artifact management and observability made simple
Organization: demml
Home Page: https://demml.github.io/opsml/
machine-learning-operations,Cloud Solutions for machine learning and operation.
User: dpanigra
machine-learning-operations,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.
User: drazendee
machine-learning-operations,A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Organization: ethicalml
Home Page: https://ethicalml.github.io/awesome-production-machine-learning
machine-learning-operations,Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Organization: evidentlyai
machine-learning-operations,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
User: hassi34
Home Page: https://hasanain.aicaliber.com/
machine-learning-operations,Frouros: an open-source Python library for drift detection in machine learning systems.
Organization: ifca-advanced-computing
Home Page: https://frouros.readthedocs.io
machine-learning-operations,Connecting MLJ and MLFlow
Organization: juliaai
machine-learning-operations,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.
User: kalyanm45
machine-learning-operations,A modern, enterprise-ready business intelligence web application
Organization: katonic-dev
machine-learning-operations,A framework for conducting MLOps.
User: kostaleonard
machine-learning-operations,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 Predibaseβs LoRAX framework inference server.
User: ksm26
Home Page: https://www.deeplearning.ai/short-courses/efficiently-serving-llms/
machine-learning-operations,Machine Learning Engineering for Production (MLOps) Coursera Specialization
User: mattborghi
machine-learning-operations,The Golang library for Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
machine-learning-operations,The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
machine-learning-operations,The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.
Organization: modzy
machine-learning-operations,Python library for Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
machine-learning-operations,Carefully curated list of awesome data science resources.
User: natnew
machine-learning-operations,Curated set of MLOps tools to work with the Neu.ro MLOps platform
Organization: neuro-inc
Home Page: https://neu-ro.gitbook.io/neuro-extras-reference/cli
machine-learning-operations,π #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"
User: nurmuhimawann
machine-learning-operations,The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. π
Organization: openlayer-ai
Home Page: https://www.openlayer.com
machine-learning-operations,A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
Organization: patternex
machine-learning-operations,MLOps for online machine learning using Docker and Python
User: sebiwtt
Home Page: https://sebiwtt.github.io/
machine-learning-operations,An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Organization: seldonio
Home Page: https://www.seldon.io/tech/products/core/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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