NannyML / nannymlLinks
nannyml: post-deployment data science in python
☆2,121Updated 5 months ago
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.☆2,465Updated 5 months ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,960Updated last week
- Algorithms for outlier, adversarial and drift detection☆2,474Updated 3 weeks ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,111Updated last month
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,560Updated last month
- Feature engineering package with sklearn like functionality☆2,177Updated this week
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Machine learning with dataframes☆1,538Updated last week
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,285Updated 9 months ago
- ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.☆5,128Updated this week
- Curated list of open source tooling for data-centric AI on unstructured data.☆735Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,502Updated this week
- Data Quality assessment with one line of code☆452Updated 3 weeks ago
- The Fuzzy Labs guide to the universe of open source MLOps☆476Updated 7 months ago
- Extra blocks for scikit-learn pipelines.☆1,373Updated last month
- Template for a data science project☆777Updated 4 months ago
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆707Updated 2 months ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,783Updated 11 months ago
- A flexible, intuitive and fast forecasting library☆1,852Updated 10 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,132Updated last week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,952Updated last week
- Algorithms for explaining machine learning models☆2,606Updated 2 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,610Updated 7 months ago
- EvalML is an AutoML library written in python.☆837Updated last month
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuni…☆3,278Updated last month
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,873Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆733Updated this week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆670Updated 10 months ago
- Natural Intelligence is still a pretty good idea.☆823Updated last year