miker2241's Stars
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
hila-chefer/Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
The-Compiler/pytest-tips-and-tricks
Supporting material for the "pytest tips and tricks for a better testsuite" training
XAI-Demonstrator/xai-demonstrator
The XAI Demonstrator is a modular platform that lets users interact with production-grade Explainable AI (XAI) systems.
XAI-Demonstrator/visualime
Implementation of LIME focused on producing user-centric local explanations for image classifiers.
ionicsolutions/do-you-follow-what-im-explaining