OmniXAI: A Library for eXplainable AI
β970Jun 2, 2026Updated last month
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 modelsβ2,639Oct 17, 2025Updated 9 months ago
- π Xplique is a Neural Networks Explainability Toolboxβ747Mar 31, 2026Updated 3 months ago
- Interpretability and explainability of data and machine learning modelsβ1,791Updated this week
- Fit interpretable models. Explain blackbox machine learning.β6,904Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.β1,520Jul 13, 2025Updated last year
- Managed Database hosting by DigitalOcean β’ 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 Intelligenceβ4,490Mar 11, 2026Updated 4 months ago
- A collection of research materials on explainable AI/MLβ1,650Mar 7, 2026Updated 4 months ago
- β132Jun 2, 2026Updated last month
- π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsβ3,250Updated this week
- XAI - An eXplainability toolbox for machine learningβ1,254Nov 29, 2025Updated 7 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ304Oct 2, 2023Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ256Aug 17, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.β25,639Updated this week
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,601Updated this week
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Algorithms for outlier, adversarial and drift detectionβ2,541Dec 11, 2025Updated 7 months ago
- Model interpretability and understanding for PyTorchβ5,674Updated this week
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ671May 4, 2026Updated 2 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,503Feb 11, 2026Updated 5 months ago
- π§ͺ A unified benchmark to evaluate & compare Explainable AI methods (SHAP, LIME, ...) via functional tests. Live results + paper (arXiv:2β¦β14Jul 3, 2026Updated 3 weeks ago
- Fast SHAP value computation for interpreting tree-based modelsβ561Jun 26, 2023Updated 3 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsβ1,288Mar 30, 2025Updated last year
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data β¦β11,596Jan 13, 2026Updated 6 months ago
- Lime: Explaining the predictions of any machine learning classifierβ12,160Jul 25, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer β’ 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.β4,380Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML vaβ¦β4,039Dec 28, 2025Updated 6 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uniβ¦β8,232Updated this week
- An Open-Source Library for the interpretability of time series classifiersβ142Nov 19, 2025Updated 8 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)β863May 31, 2022Updated 4 years ago
- moDel Agnostic Language for Exploration and eXplanationβ1,482Jul 15, 2026Updated last week
- BotSIM - a data-efficient end-to-end Bot SIMulation toolkit for evaluation, diagnosis, and improvement of commercial chatbotsβ116May 1, 2025Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.β199Dec 21, 2023Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.β2,261Updated this week
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A unified framework for Deep Learning Models on tabular dataβ1,677Apr 17, 2026Updated 3 months ago
- An evaluation toolbox for machine learning explanationsβ16Jan 7, 2024Updated 2 years ago
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.β9,830Updated this week
- nannyml: post-deployment data science in pythonβ2,146Jul 12, 2025Updated last year
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series anβ¦β6,099Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,063May 22, 2026Updated 2 months ago
- π Online machine learning in Pythonβ5,888Updated this week