google / nitromlLinks
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
☆43Updated 4 years ago
Alternatives and similar repositories for nitroml
Users that are interested in nitroml are comparing it to the libraries listed below
Sorting:
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- python library for automated dataset normalization☆116Updated 2 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- Flow with FlorDB 🌻☆153Updated last week
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆44Updated 2 years ago
- An open source python library for automated prediction engineering☆45Updated 3 months ago
- Comet-For-MLFlow Extension☆66Updated last week
- Primrose modeling framework for simple production models☆32Updated last year
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 2 months ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆103Updated last month
- Distributed Bayesian Entity Resolution in Apache Spark☆57Updated 4 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- A deep ranking personalization framework☆133Updated 2 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- ☆12Updated 5 years ago
- ☆162Updated 4 years ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- General Interpretability Package☆58Updated 2 years ago
- A bit of extra usability for sqlalchemy v2.☆78Updated last year
- real-time data + ML pipeline☆54Updated last week
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 3 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆81Updated last month
- A Python framework for data science.☆101Updated 2 years ago
- yogadl, the flexible data layer☆74Updated 2 years ago