Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
-
Updated
Jan 31, 2023 - Python
#
model-agnostic
Here are 9 public repositories matching this topic...
This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
-
Updated
Apr 30, 2023 - Python
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
efficient-inference
finetuning
reprogramming
model-agnostic
downstream-tasks
low-data-regime
foundation-models
visual-prompt
visual-prompting
ood-robustness
-
Updated
Jan 16, 2024 - Python
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
tracking
deep-learning
detection
voxel
perception
object-detection
autonomous-driving
instance-level
stereo-vision
multi-resolution
stereo-camera
tracking-by-detection
3d-computer-vision
refinement-network
robot-vision
3d-pose-estimation
3d-object-detection
6dof-pose
model-agnostic
high-resolution-net
-
Updated
Feb 26, 2023 - Python
Robust regression algorithm that can be used for explaining black box models (R implementation)
machine-learning
r
research
r-package
sparse-regression
research-paper
explainable-ai
explainable-ml
interpretable-machine-learning
robust-regression
model-agnostic
black-box-explanations
local-explanations
explain-classifiers
slise
slise-algorithm
-
Updated
Aug 17, 2023 - R
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python
machine-learning
research
sparse-regression
research-paper
explainable-ai
explainable-ml
interpretable-machine-learning
robust-regression
model-agnostic
black-box-explanations
local-explanations
explain-classifiers
slise
slise-algorithm
-
Updated
Dec 19, 2023 - Python
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
-
Updated
Dec 2, 2023 - Python
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
ai
time-series
artificial-intelligence
forecasting
industrial
ibm-research
interpretability
fault-detection
explainable-ai
explainable-ml
xai
ibm-research-ai
explainability
model-agnostic
aix360
kdd2023
aix360-for-time-series-and-industrial-use-cases
-
Updated
Aug 14, 2023 - TeX
Post-host prototype-based explanations with rules for time-series classifiers
machine-learning
deep-learning
time-series
prototypes
interpretability
explainability
model-agnostic
-
Updated
Apr 5, 2024 - Python
Improve this page
Add a description, image, and links to the model-agnostic topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the model-agnostic topic, visit your repo's landing page and select "manage topics."