Stars
The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
Training and Tuning Strategies for Foundation Models in Medical Imaging
Generates 3D maps of the 21-cm signal from the cosmic dawn and the epoch of reionisation.
Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2
The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
PyTorch implementation of "SelectiveNet: A Deep Neural Network with an Integrated Reject Option" from Geifman et al. [ICML2019]
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
Code for the paper: Rotating Features for Object Discovery
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
PyTorch code to run synthetic experiments.
Code for MICCAI 2023 paper: Robust Segmentation via Topology Violation Detection and Feature Synthesis
DomainBed is a suite to test domain generalization algorithms
Computes a Witness Complex for a given set of landmarks and witnesses.
Message Passing Neural Networks for Simplicial and Cell Complexes
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Learning Continuous Signed Distance Functions for Shape Representation
Pytorch Geometric Tutorials
SfM Camera trajectory quality evaluation
My attempt to implement the State-Relabeling Adversarial Active Learning algorithm. Reference: https://arxiv.org/pdf/2004.04943.pdf
MAGSAC: marginalizing sample consensus, python version
Implementation of our paper "Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation"