explainX / explainxLinks
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
☆442Updated last year
Alternatives and similar repositories for explainx
Users that are interested in explainx are comparing it to the libraries listed below
Sorting:
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆544Updated 10 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆319Updated 7 months ago
- Fast SHAP value computation for interpreting tree-based models☆548Updated 2 years ago
- Human-explainable AI.☆524Updated 2 months ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆615Updated 7 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated 3 weeks ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆510Updated 8 months ago
- Natural Intelligence is still a pretty good idea.☆822Updated last year
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆349Updated 2 weeks ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆675Updated 9 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆435Updated 10 months ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- Doubt your data, find bad labels.☆518Updated last year
- EvalML is an AutoML library written in python.☆833Updated 2 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆440Updated 2 years ago
- XAI - An eXplainability toolbox for machine learning☆1,211Updated last week
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆266Updated 3 years ago
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆237Updated 2 weeks ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- OmniXAI: A Library for eXplainable AI☆959Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆474Updated 6 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆582Updated last year
- Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, vide…☆561Updated last year
- A set of data tools in Python☆508Updated 2 weeks ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,548Updated 2 weeks ago
- Leave One Feature Out Importance☆854Updated 9 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,473Updated 4 months ago
- A general purpose recommender metrics library for fair evaluation.☆278Updated 2 years ago