NannyML / nannymlLinks
nannyml: post-deployment data science in python
☆2,089Updated last month
Alternatives and similar repositories for nannyml
Users that are interested in nannyml are comparing it to the libraries listed below
Sorting:
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,426Updated 2 weeks ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,939Updated 3 weeks ago
- Algorithms for outlier, adversarial and drift detection☆2,418Updated 2 months ago
- 🐶 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☆2,114Updated last week
- Machine learning with dataframes☆1,442Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,488Updated last month
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,533Updated last week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,870Updated 3 weeks ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,259Updated 4 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆471Updated 3 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆868Updated 2 years ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,742Updated 7 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,600Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,449Updated last week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆703Updated this week
- Extra blocks for scikit-learn pipelines.☆1,351Updated last month
- ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.☆4,819Updated this week
- Curated list of open source tooling for data-centric AI on unstructured data.☆724Updated last year
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,833Updated last year
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,575Updated this week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,647Updated 2 months ago
- Template for a data science project☆732Updated last week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 5 months ago
- Compilation of high-profile real-world examples of failed machine learning projects☆732Updated last year
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Predictive Power Score (PPS) in Python☆1,156Updated 7 months ago
- Data Quality assessment with one line of code☆447Updated last week
- ☆703Updated 2 years ago
- EvalML is an AutoML library written in python.☆822Updated this week