jrzaurin / ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
☆110Updated 2 years ago
Alternatives and similar repositories for ml-pipeline
Users that are interested in ml-pipeline are comparing it to the libraries listed below
Sorting:
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 2 years ago
- ☆54Updated 2 years ago
- Code samples and other materials for presentations by Bespoke tech team members☆82Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- ☆154Updated 4 years ago
- Guide on creating an API for serving your ML model☆66Updated 2 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated last year
- Simple Machine Learning Web API Example with Falcon☆50Updated 4 months ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆22Updated 10 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 9 months ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Top 3% solution for Kaggle M5 Accuracy competition☆23Updated 4 years ago
- TSFresh primitives for featuretools☆36Updated 2 years ago
- ☆67Updated 5 years ago
- 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
- kaggle☆29Updated 6 years ago