QLoRA: Efficient Finetuning of Quantized LLMs

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"

PyTorch Explain: Interpretable Deep Learning in Python.

[NeurIPS 2022 Spotlight] Learning Equivariant Segmentation with Instance-Unique Querying