A metric suite leveraging the logical inference capabilities of LLMs, for radiology report generation both with and without grounding

Instant voice cloning by MIT and MyShell.

All Algorithms implemented in Python

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Official Repository of "Robust Detection Outcome: A Metric for Pathology Detection in Medical Images"

BraTS 2023 Inpainting Challenge (Local Synthesis) Repository for Participants. Includes baseline model and infill mask generation script.

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

GPU environment and cluster management with LLM support

Anomaly localization using autoencoder models in the feature space of a ResNet

Tutorial codes for deep learning based MR image reconstruction

Tutorial on anomaly detection for TUM's artificial intelligence for medicine course

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Netmaker makes networks with WireGuard. Netmaker automates fast, secure, and distributed virtual networks.

Official implementation of the paper "Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI" accepted to the MICCAI 2021 BrainLes workshop

A curated list of awesome anomaly detection resources

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Learning interpretable physical variables from image sequences using autoencoders