interpretability

Here are 304 public repositories matching this topic...

jacobgil / pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers

Updated Oct 19, 2024
Python

pytorch / captum

Star

Model interpretability and understanding for PyTorch

interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Updated Oct 31, 2024
Python

stellargraph / stellargraph

Star

StellarGraph - Machine Learning on Graphs

python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library

Updated Apr 10, 2024
Python

SeldonIO / alibi

Star

Algorithms for explaining machine learning models

machine-learning interpretability counterfactual explanations xai

Updated Jul 12, 2024
Python

frgfm / torch-cam

Sponsor

Star

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

python deep-learning grad-cam cnn pytorch saliency-map interpretability smoothgrad interpretable-deep-learning gradcam activation-maps class-activation-map gradcam-plus-plus score-cam

Updated Oct 25, 2024
Python

google-deepmind / penzai

Star

A JAX research toolkit for building, editing, and visualizing neural networks.

visualization neural-networks interpretability fine-tuning jax

Updated Nov 1, 2024
Python

ModelOriented / DALEX

Star

moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis

Updated Oct 2, 2024
Python

stanfordnlp / pyreft

Star

ReFT: Representation Finetuning for Language Models

interpretability reft representation-finetuning

Updated Oct 22, 2024
Python

EthicalML / xai

Star

XAI - An eXplainability toolbox for machine learning

machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library

Updated Oct 30, 2021
Python

sicara / tf-explain

Star

Interpretability Methods for tf.keras models with Tensorflow 2.x

visualization machine-learning deep-learning tensorflow keras tf2 interpretability

Updated Jun 3, 2024
Python

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…