Transformer-MM-Explainability

A game theoretic approach to explain the output of any machine learning model.

Generating Robotic Simulation Tasks via Large Language Models

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

中文nlp解决方案(大模型、数据、模型、训练、推理)

???? (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! ???

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Image to prompt with BLIP and CLIP

Collection of AWESOME vision-language models for vision tasks

Easily compute clip embeddings and build a clip retrieval system with them

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks