Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationSkill source unconfirmed
3.2KGitHub
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Results: 8
Transformers Interpret
cdpierse
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Robotics IotSkill source unconfirmed
1.4KGitHub
Diffusers Interpret
JoaoLages
Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
Media AutomationSkill source unconfirmed
278GitHub
Pytorch Grad Cam
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Ml AutomationSkill source unconfirmed
12.9KGitHub
AIX360
Trusted-AI
Interpretability and explainability of data and machine learning models
Ml AutomationSkill source unconfirmed
1.8KGitHub
Traceml
polyaxon
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Ml AutomationSkill source unconfirmed
533GitHub
dsql
awslabs
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with…
888GitHub
Histocartography
BiomedSciAI
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
Geo ScienceSkill source unconfirmed
271GitHub