codebook-features

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

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Fit interpretable models. Explain blackbox machine learning.

The Open Source Feature Store for AI/ML

Standardized Serverless ML Inference Platform on Kubernetes

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

A curated list of awesome responsible machine learning resources.