SeldonIO/alibi

Algorithms for explaining machine learning models

counterfactualexplanationsinterpretabilitymachine-learningxai

License & maintenance

Custom or modified license that GitHub does not recognise: read the LICENSE file in the repository before using it in a product.

Last code push 12 months ago.

	Repository	Stars	Language	License	Activity
1	shap/shapA game theoretic approach to explain the output of any machine learning model.	★ 25.8k	Jupyter Notebook	MIT	Active
2	tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone	★ 201.1k	C++	Apache-2.0	Active
3	pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration	★ 104.8k	Python	Other	Active
4	d2l-ai/d2l-zh《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。	★ 81.9k	Python	Apache-2.0	Stale
5	tesseract-ocr/tesseractTesseract Open Source OCR Engine (main repository)	★ 77.1k	C++	Apache-2.0	Active
6	openbq-org/OpenBBOpen Data Platform for analysts, quants and AI agents.	★ 74.4k	Python	Other	Active
7	microsoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All!	★ 69.9k	Jupyter Notebook	MIT	Active
8	scikit-learn/scikit-learnscikit-learn: machine learning in Python	★ 67.7k	Python	BSD-3-Clause	Active