Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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A curated list of awesome responsible machine learning resources.
StellarGraph - Machine Learning on Graphs
Algorithms for explaining machine learning models
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
moDel Agnostic Language for Exploration and eXplanation
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
⬛ Python Individual Conditional Expectation Plot Toolbox
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University