model-agnostic

There are 0 repository under model-agnostic topic.

MarcelRobeer / ContrastiveExplanation
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
contrastive-explanations explainable-ai foil interpretability machine-learning model-agnostic
Language:Python 45
reds-lab / LAVA
This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
data-valuation efficient model-agnostic optimal-transport ot
Language:Python 44
IBM / AutoVP
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
downstream-tasks efficient-inference finetuning foundation-models low-data-regime model-agnostic ood-robustness reprogramming visual-prompt visual-prompting
Language:Python 18
Nicholasli1995 / SNVC
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
3d-object-detection 3d-computer-vision object-detection tracking stereo-vision stereo-camera deep-learning high-resolution-net 6dof-pose robot-vision tracking-by-detection instance-level refinement-network model-agnostic perception autonomous-driving 3d-pose-estimation voxel multi-resolution detection
Language:Python 13
pyslise
edahelsinki / pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm
Language:Python 6
slise
edahelsinki / slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
r robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm r-package
Language:R 5
AnasNeumann / simplemaml
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
deep-learning maml meta-learning model-agnostic neural-networks python tensorflow
Language:Python 3
cfeng783 / PARs
Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation
anomaly-explanation model-agnostic
Language:Python 2
sbobek / tsproto
Post-hoc prototype-based explanations with rules for time-series classifiers
deep-learning explainability interpretability machine-learning model-agnostic prototypes time-series
Language:Python 2
ai-library-examples / aix4industries
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
ai aix360 aix360-for-time-series-and-industrial-use-cases artificial-intelligence explainability explainable-ai explainable-ml fault-detection forecasting ibm-research ibm-research-ai industrial interpretability kdd2023 model-agnostic time-series xai
Language:TeX 1
Ephrem-ETH / GlobXplain4TSC
A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers
black-box-model decision-tree-classifier deep-learning explainable-ai explainable-artificial-intelligence model-agnostic model-agnostic-explanations rule-based-classifier
Language:Jupyter Notebook