Fit interpretable models. Explain blackbox machine learning.
☆6,942Sep 14, 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.☆25,760Updated this week
- Algorithms for explaining machine learning models☆2,644Oct 17, 2025Updated 10 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,164Jul 25, 2024Updated 2 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,526Jul 13, 2025Updated last year
- A curated list of awesome responsible machine learning resources.☆4,068Jun 3, 2026Updated 3 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆444Feb 7, 2025Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,836Apr 8, 2026Updated 5 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,285Updated this week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,472Mar 30, 2026Updated 5 months ago
- An open source python library for automated feature engineering☆7,677Updated this week
- Interpretability and explainability of data and machine learning models☆1,802Sep 5, 2026Updated last week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,317Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,403Feb 19, 2025Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,999Aug 20, 2026Updated 3 weeks ago
- 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.
- moDel Agnostic Language for Exploration and eXplanation☆1,485Jul 15, 2026Updated 2 months ago
- Model interpretability and understanding for PyTorch☆5,700Updated this week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,151Updated 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…☆27,985Updated this week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,390Feb 10, 2026Updated 7 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,050Sep 11, 2025Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,619Updated this week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,175Sep 8, 2026Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,256Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,121Jun 29, 2026Updated 2 months ago
- A library of sklearn compatible categorical variable encoders☆2,502Sep 8, 2026Updated last week
- Automatic extraction of relevant features from time series:☆9,424Jul 6, 2026Updated 2 months ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,697Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,916Sep 6, 2026Updated last week
- Automated Machine Learning with scikit-learn☆8,130Updated this week
- A unified framework for machine learning with time series☆10,017Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,261Nov 29, 2025Updated 9 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,789Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,770Updated this week
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.☆9,841Jul 23, 2026Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,544Updated this week
- A system for quickly generating training data with weak supervision☆6,008Updated this week
- A hyperparameter optimization framework☆14,806Updated this week
- A python library for decision tree visualization and model interpretation.☆3,156Jan 2, 2026Updated 8 months ago
- Algorithms for outlier, adversarial and drift detection☆2,549Dec 11, 2025Updated 9 months ago