A framework for conducting MLOps.
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Updated
Apr 16, 2022 - Python
A framework for conducting MLOps.
Cloud Solutions for machine learning and operation.
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 d…
A common interface for registering, validating and auditing machine learning artifacts
Kueski Challenge - Vacante de Machine Learning Engineer
🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"
Connecting MLJ and MLFlow
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.
MLOps for online machine learning using Docker and Python
Sample notebooks that use the Openlayer Python API
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
The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
The Golang library for Modzy Machine Learning Operations (MLOps) Platform
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 🚀
Curated set of MLOps tools to work with the Neu.ro MLOps platform
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
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.
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
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.
The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.
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