Topic: model-agnostic Goto Github
Some thing interesting about model-agnostic
Some thing interesting about model-agnostic
model-agnostic,AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Organization: ai-library-examples
Home Page: https://ai-library-examples.github.io/aix4industries/
model-agnostic,A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
User: anasneumann
Home Page: https://pypi.org/project/simplemaml/
model-agnostic,Robust regression algorithm that can be used for explaining black box models (Python implementation)
Organization: edahelsinki
Home Page: https://edahelsinki.fi/pyslise/
model-agnostic,Robust regression algorithm that can be used for explaining black box models (R implementation)
Organization: edahelsinki
Home Page: http://edahelsinki.fi/slise/
model-agnostic,[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
Organization: ibm
Home Page: https://arxiv.org/abs/2310.08381
model-agnostic,Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
User: marcelrobeer
model-agnostic,Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
User: nicholasli1995
model-agnostic,This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
Organization: reds-lab
Home Page: https://openreview.net/forum?id=JJuP86nBl4q
model-agnostic,Post-host prototype-based explanations with rules for time-series classifiers
User: sbobek
Home Page: https://tsproto.readthedocs.io
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