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[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-…

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

This is the repo for Multi-level textual grounding

Data augmentation for NLP

Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding

What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Datasets, Transforms and Models specific to Computer Vision

LlamaIndex is a data framework for your LLM applications

Modern C++ Programming Course (C++03/11/14/17/20/23/26)