mapattacker / ai-engineerLinks
how to be an AI Engineer
☆15Updated 2 years ago
Alternatives and similar repositories for ai-engineer
Users that are interested in ai-engineer are comparing it to the libraries listed below
Sorting:
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆234Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 4 years ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆69Updated 4 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆152Updated last year
- ☆37Updated 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
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated 2 months ago
- An example MLFlow project☆50Updated last year
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆185Updated last year
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 8 months ago
- ☆16Updated 5 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 4 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆52Updated 4 years ago
- ☆18Updated 4 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆51Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 5 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆180Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Toolkit for developing and maintaining ML models☆152Updated last year
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 3 years ago
- Streamline scikit-learn model comparison.☆142Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆163Updated last month