NannyML / nannymlLinks
nannyml: post-deployment data science in python
☆2,096Updated 2 months ago
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…☆3,914Updated last month
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,449Updated 2 months ago
- Algorithms for outlier, adversarial and drift detection☆2,429Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,953Updated 2 weeks ago
- Feature engineering package with sklearn like functionality☆2,132Updated 3 weeks ago
- Machine learning with dataframes☆1,459Updated this week
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆870Updated 2 years ago
- Extra blocks for scikit-learn pipelines.☆1,360Updated 2 weeks ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated 2 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,265Updated 6 months ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,645Updated this week
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,757Updated 8 months ago
- Algorithms for explaining machine learning models☆2,559Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,500Updated last month
- Template for a data science project☆736Updated last month
- Data Quality assessment with one line of code☆450Updated 3 weeks ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,845Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,464Updated this week
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 4 months 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…☆703Updated last week
- ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.☆4,905Updated this week
- Curated list of open source tooling for data-centric AI on unstructured data.☆726Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,000Updated 3 months ago
- Scalable machine 🤖 learning for time series forecasting.☆1,067Updated 3 weeks ago
- EvalML is an AutoML library written in python.☆829Updated last week
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,595Updated this week
- Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.☆2,203Updated last year
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,205Updated 2 months ago
- ☆704Updated 3 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆667Updated 7 months ago