Fit interpretable models. Explain blackbox machine learning.
☆6,956Oct 5, 2026Updated this week
Alternatives and similar repositories for interpret
Users that are interested in interpret are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A game theoretic approach to explain the output of any machine learning model.☆25,796Updated this week
- Algorithms for explaining machine learning models☆2,648Oct 17, 2025Updated 11 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,166Jul 25, 2024Updated 2 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,528Jul 13, 2025Updated last year
- A curated list of awesome responsible machine learning resources.☆4,071Jun 3, 2026Updated 4 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆444Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,850Apr 8, 2026Updated 5 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,289Updated this week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,474Mar 30, 2026Updated 6 months ago
- An open source python library for automated feature engineering☆7,687Sep 11, 2026Updated 3 weeks ago
- Interpretability and explainability of data and machine learning models☆1,808Sep 5, 2026Updated last month
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,338Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,406Feb 19, 2025Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆6,019Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- moDel Agnostic Language for Exploration and eXplanation☆1,487Jul 15, 2026Updated 2 months ago
- Model interpretability and understanding for PyTorch☆5,709Updated this week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,158Updated this week
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆28,286Updated this week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,393Feb 10, 2026Updated 7 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,055Sep 11, 2025Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,626Updated this week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,181Sep 29, 2026Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,260Updated this week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,126Jun 29, 2026Updated 3 months ago
- A library of sklearn compatible categorical variable encoders☆2,508Sep 8, 2026Updated 3 weeks ago
- Automatic extraction of relevant features from time series:☆9,470Jul 6, 2026Updated 3 months ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,720Sep 11, 2026Updated 3 weeks ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,978Updated this week
- Automated Machine Learning with scikit-learn☆8,135Sep 15, 2026Updated 3 weeks ago
- A unified framework for machine learning with time series☆10,059Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,265Nov 29, 2025Updated 10 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,805Updated this week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,836Updated this week
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.☆9,850Jul 23, 2026Updated 2 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,548Sep 14, 2026Updated 3 weeks ago
- A system for quickly generating training data with weak supervision☆6,014Sep 14, 2026Updated 3 weeks ago
- A hyperparameter optimization framework☆14,892Updated this week
- A python library for decision tree visualization and model interpretation.☆3,159Jan 2, 2026Updated 9 months ago
- Algorithms for outlier, adversarial and drift detection☆2,546Dec 11, 2025Updated 9 months ago