OmniXAI: A Library for eXplainable AI
☆970Jun 2, 2026Updated 2 months ago
Alternatives and similar repositories for OmniXAI
Users that are interested in OmniXAI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Algorithms for explaining machine learning models☆2,643Oct 17, 2025Updated 9 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆750Aug 6, 2026Updated last week
- Interpretability and explainability of data and machine learning models☆1,794Aug 8, 2026Updated last week
- Fit interpretable models. Explain blackbox machine learning.☆6,916Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,523Jul 13, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,489Mar 11, 2026Updated 5 months ago
- A collection of research materials on explainable AI/ML☆1,650Mar 7, 2026Updated 5 months ago
- ☆132Jun 2, 2026Updated 2 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,254Jul 28, 2026Updated 2 weeks ago
- XAI - An eXplainability toolbox for machine learning☆1,257Nov 29, 2025Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆304Oct 2, 2023Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆258Aug 17, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆25,682Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,614Aug 3, 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.
- Algorithms for outlier, adversarial and drift detection☆2,546Dec 11, 2025Updated 8 months ago
- Model interpretability and understanding for PyTorch☆5,685Updated this week
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆672May 4, 2026Updated 3 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,510Feb 11, 2026Updated 6 months ago
- 🧪 A unified benchmark to evaluate & compare Explainable AI methods (SHAP, LIME, ...) via functional tests. Live results + paper (arXiv:2…☆14Jul 3, 2026Updated last month
- Fast SHAP value computation for interpreting tree-based models☆564Jun 26, 2023Updated 3 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,286Mar 30, 2025Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆12,167Jul 25, 2024Updated 2 years ago
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data …☆11,627Jan 13, 2026Updated 7 months ago
- 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.
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,385Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆4,045Dec 28, 2025Updated 7 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,265Updated this week
- An Open-Source Library for the interpretability of time series classifiers☆143Nov 19, 2025Updated 8 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆863May 31, 2022Updated 4 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,485Jul 15, 2026Updated last month
- BotSIM - a data-efficient end-to-end Bot SIMulation toolkit for evaluation, diagnosis, and improvement of commercial chatbots☆116May 1, 2025Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆199Dec 21, 2023Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,267Jul 31, 2026Updated 2 weeks ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A unified framework for Deep Learning Models on tabular data☆1,680Apr 17, 2026Updated 3 months ago
- An evaluation toolbox for machine learning explanations☆16Jan 7, 2024Updated 2 years ago
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.☆9,834Jul 23, 2026Updated 3 weeks ago
- nannyml: post-deployment data science in python☆2,147Jul 12, 2025Updated last year
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,104Jul 23, 2026Updated 3 weeks ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,066May 22, 2026Updated 2 months ago
- 🌊 Online machine learning in Python☆5,916Updated this week