Statistics for topic interpretability
RepositoryStats tracks 518,986 Github repositories, of these 143 are tagged with the interpretability topic. The most common primary language for repositories using this topic is Python (68). Other languages include: Jupyter Notebook (40)
Stargazers over time for topic interpretability
Most starred repositories for topic interpretability (view more)
Trending repositories for topic interpretability (view more)
A game theoretic approach to explain the output of any machine learning model.
A JAX research toolkit for building, editing, and visualizing neural networks.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
A game theoretic approach to explain the output of any machine learning model.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
A JAX research toolkit for building, editing, and visualizing neural networks.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A game theoretic approach to explain the output of any machine learning model.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
A JAX research toolkit for building, editing, and visualizing neural networks.
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
The nnsight package enables interpreting and manipulating the internals of deep learned models.
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
A game theoretic approach to explain the output of any machine learning model.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A JAX research toolkit for building, editing, and visualizing neural networks.
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
Linear probe found representations of scene attributes in a text-to-image diffusion model
CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
