Stars
[NeurIPS 2024] Official repository for "Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization"
This repository contains python code that combines a fully convolutional neural network (FCN) with a conditional random field (CRF) that can be used to interactively correct flawed predictions
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
A Unified Framework for Image-to-Graph Generation. Paper accepted @ ECCV22.
Repository of the "happy" library for useful tools for io and plotting that make everyday Python users happier.
A curated list of resources on implicit neural representations.
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
🤖 A Python library for learning and evaluating knowledge graph embeddings
Graph Neural Network Library for PyTorch
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Deep spectral-based shape features for Alzheimer’s Disease classification
Seminars DeepBayes Summer School 2018
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.