BINPIPE / docker-for-ml
Using Docker for Machine Learning Workflows
☆13Updated 3 years ago
Alternatives and similar repositories for docker-for-ml:
Users that are interested in docker-for-ml are comparing it to the libraries listed below
- Tutorial given at PyData LA 2018☆97Updated 6 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated last year
- ☆43Updated 2 years ago
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 4 years ago
- ☆47Updated 5 years ago
- In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…☆29Updated 2 years ago
- Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020☆123Updated 3 years ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated last year
- Data science blog☆33Updated 6 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆23Updated 3 years ago
- ☆33Updated 2 years ago
- Created the contents of this repo originally for a workshop I gave at UCLA☆112Updated 5 years ago
- Applied Machine Learning with Python☆77Updated 10 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 10 months ago
- ☆27Updated 5 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated last year
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year
- ☆53Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆113Updated last year
- Reference package for unit tests☆49Updated 6 years ago
- ☆31Updated 8 months ago
- Forecasting lectures and tutorials using Python☆118Updated 7 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago
- ☆15Updated 2 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆55Updated 5 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago