NannyML / nannymlLinks
nannyml: post-deployment data science in python
☆2,070Updated last month
Alternatives and similar repositories for nannyml
Users that are interested in nannyml are comparing it to the libraries listed below
Sorting:
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,797Updated last week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,213Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,377Updated 3 weeks ago
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,611Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,886Updated 2 weeks ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,399Updated 3 weeks ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆719Updated last year
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- Feature engineering package with sklearn like functionality☆2,060Updated last month
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,719Updated 4 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,249Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,387Updated last week
- Extra blocks for scikit-learn pipelines.☆1,335Updated last month
- Template for a data science project☆714Updated 3 weeks ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆699Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,461Updated 2 months ago
- Machine learning with dataframes☆1,398Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,125Updated 9 months ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,810Updated 11 months ago
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆336Updated last year
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,583Updated this week
- Natural Intelligence is still a pretty good idea.☆813Updated 10 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆501Updated 4 months ago
- Predictive Power Score (PPS) in Python☆1,146Updated 4 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,082Updated 2 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆862Updated last year
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuni…☆3,152Updated last week
- Algorithms for explaining machine learning models☆2,504Updated 3 weeks ago
- Data Quality assessment with one line of code☆441Updated 2 weeks ago
- CDF SIG MLOps☆624Updated 6 months ago