Fit interpretable models. Explain blackbox machine learning.
☆6,896Jul 13, 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.☆25,615Updated this week
- Algorithms for explaining machine learning models☆2,636Oct 17, 2025Updated 9 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,153Jul 25, 2024Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,519Jul 13, 2025Updated last year
- A curated list of awesome responsible machine learning resources.☆4,047Jun 3, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆445Feb 7, 2025Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,776Apr 8, 2026Updated 3 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,256Jul 11, 2026Updated last week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,469Mar 30, 2026Updated 3 months ago
- An open source python library for automated feature engineering☆7,662Jul 7, 2026Updated last week
- Interpretability and explainability of data and machine learning models☆1,787May 22, 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…☆8,209Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,397Feb 19, 2025Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,923Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- moDel Agnostic Language for Exploration and eXplanation☆1,481Jan 20, 2026Updated 5 months ago
- Model interpretability and understanding for PyTorch☆5,668Jul 7, 2026Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,114Updated 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…☆27,042Updated this week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,394Feb 10, 2026Updated 5 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,048Sep 11, 2025Updated 10 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,600May 26, 2026Updated last month
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,243Jul 9, 2026Updated last week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,158Jul 10, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,113Jun 29, 2026Updated 2 weeks ago
- Automatic extraction of relevant features from time series:☆9,269Jul 6, 2026Updated last week
- A library of sklearn compatible categorical variable encoders☆2,493Jul 11, 2026Updated last week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,641Apr 22, 2026Updated 2 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,776Updated this week
- Automated Machine Learning with scikit-learn☆8,119Jun 29, 2026Updated 2 weeks ago
- A unified framework for machine learning with time series☆9,855Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,253Nov 29, 2025Updated 7 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,711Updated this week
- 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.
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.☆9,825Jul 11, 2026Updated last week
- A system for quickly generating training data with weak supervision☆5,989Jun 8, 2026Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,535Jul 17, 2025Updated last year
- A hyperparameter optimization framework☆14,506Updated this week
- A python library for decision tree visualization and model interpretation.☆3,155Jan 2, 2026Updated 6 months ago
- Algorithms for outlier, adversarial and drift detection☆2,538Dec 11, 2025Updated 7 months ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,569Updated this week