Noodle-ai / mlflow_part2_dockerEnvLinks
Using MLflow with a Docker Environment
☆19Updated 5 years ago
Alternatives and similar repositories for mlflow_part2_dockerEnv
Users that are interested in mlflow_part2_dockerEnv are comparing it to the libraries listed below
Sorting:
- Basic and advanced MLflow examples for many ML flavors☆236Updated last year
- Example machine learning pipeline with MLflow and Hydra☆94Updated 2 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆232Updated last year
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 3 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 3 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆241Updated 5 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- Get started DVC project (NLP, random forest)☆185Updated last year
- a docker image of the MLflow server component☆36Updated 2 weeks ago
- Deploy MLflow with HTTP basic authentication using Docker☆104Updated last month
- ☆44Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.☆39Updated 4 years ago
- An open-source AutoML Library based on PyTorch☆306Updated last week
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆230Updated last week
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆121Updated 2 years ago
- Automatically upload the model saved as W&B Artifact to Kaggle Dataset.☆23Updated 3 years ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3☆259Updated last year
- ☆37Updated 3 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆240Updated 2 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 2 years ago
- ☆20Updated last year
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆34Updated 3 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆240Updated last year