🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Explainability for Vision Transformers

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Official code for the CHIL 2024 paper: "Vision-Language Generative Model for View-Specific Chest X-ray Generation"

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

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

Declarative and reproducible Jupyter environments - powered by Nix

Neuroimaging in PyTorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation