MAIF / shapash
๐
Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
โ2,869Updated this week
Alternatives and similar repositories for shapash:
Users that are interested in shapash are comparing it to the libraries listed below
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.โ2,384Updated 4 months ago
- Feature engineering package with sklearn like functionalityโ2,044Updated last week
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Graโฆโ1,799Updated 10 months ago
- Extra blocks for scikit-learn pipelines.โ1,327Updated last week
- Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).โ1,451Updated 2 months ago
- Algorithms for outlier, adversarial and drift detectionโ2,354Updated 2 weeks ago
- Automatically visualize your pandas dataframe via a single print! ๐ ๐กโ5,276Updated last year
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuniโฆโ3,136Updated 2 weeks ago
- Machine learning with dataframesโ1,378Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentationโ3,152Updated 3 weeks ago
- Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.โ2,154Updated 10 months ago
- Natural Intelligence is still a pretty good idea.โ809Updated 9 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.โ1,374Updated last week
- Predictive Power Score (PPS) in Pythonโ1,146Updated 4 months ago
- Algorithms for explaining machine learning modelsโ2,495Updated last month
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadโฆโ646Updated 2 months ago
- Evidently is โโan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froโฆโ6,116Updated this week
- Visualize and compare datasets, target values and associations, with one line of code.โ3,009Updated 9 months ago
- A python library for decision tree visualization and model interpretation.โ3,053Updated 2 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsโ1,246Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.โ1,965Updated 2 months ago
- A simple and efficient tool to parallelize Pandas operations on all availableย CPUsโ3,758Updated 9 months ago
- A flexible, intuitive and fast forecasting libraryโ1,838Updated 2 months ago
- An open-source, low-code machine learning library in Pythonโ9,311Updated 2 weeks ago
- Clean APIs for data cleaning. Python implementation of R package Janitorโ1,414Updated last week
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.โ4,120Updated 2 weeks ago
- A package which efficiently applies any function to a pandas dataframe or series in the fastest available mannerโ2,607Updated last year
- moDel Agnostic Language for Exploration and eXplanationโ1,419Updated 2 months ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.โ12,883Updated this week
- EvalML is an AutoML library written in python.โ807Updated 2 weeks ago