schmidtbri / ml-model-abc-improvements
Code showing how to add metadata and versioning to an ML model base class.
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ml-model-abc-improvements
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated last year
- sample code for tech blog post "Porting Flask to FastAPI for ML Model Serving"☆29Updated last year
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆55Updated 3 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- How to do data science with Optimus, Spark and Python.☆18Updated 5 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆34Updated 4 years ago
- ☆12Updated 4 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 2 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆108Updated last year
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Structural Time Series on US electricity demand data☆23Updated 3 years ago
- Server that simplifies connecting pandas to a realtime data feed, testing hypothesis and visualizing results in a web browser☆33Updated last year
- Universal 1d/2d data containers with Transformers functionality for data analysis.☆26Updated 2 years ago
- Python package for Bayesian Tests / AB Testing☆40Updated 4 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- ☆29Updated 10 months ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- ☆14Updated last year
- General Interpretability Package☆58Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 4 years ago
- ☆19Updated 3 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 2 weeks ago