davidstutz

Research scientist at DeepMind, davidstutz.de, hello@davidstutz.de

London, UK

Pinned Repositories

bootstrap-multiselect
JQuery multiselect plugin based on Twitter Bootstrap.
Language:HTML3.7k 154 9552k
bootstrap-strength-meter
Password strength meter based on Twitter Bootstrap and Password Score.
Language:HTML84 6 427
latex-resources
Collection of LaTeX resources and examples.
Language:TeX531 23 2136
mesh-fusion
Python tool for obtaining watertight meshes using TSDF fusion.
Language:C++215 6 2343
mesh-voxelization
C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.
Language:C++361 11 1350
superpixel-benchmark
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
Language:C++399 21 11109
superpixels-revisited
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
Language:C++262 21 771
conformal_training
This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".
Language:Python122 5 37
uncertain_ground_truth
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).
Language:Python543 11 233
med-gemini-medqa-relabelling
For Med-Gemini, we relabeled the MedQA benchmark; this repo includes the annotations and analysis code.
Language:Jupyter Notebook35 3 03

davidstutz's Repositories

davidstutz/superpixels-revisited
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
Language:C++262 21 771
davidstutz/bootstrap-strength-meter
Password strength meter based on Twitter Bootstrap and Password Score.
Language:HTML84 6 427
davidstutz/matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
Language:Matlab60 8 549
davidstutz/mesh-evaluation
Efficient C++ implementation of mesh-to-mesh and mesh-to-point distance.
Language:C++57 3 019
davidstutz/tensorflow-cpp-op-example
Simple example of implementing a new Tensorflow operation and its gradient in C++.
Language:Python56 7 324
davidstutz/seeds-revised
Implementation of the superpixel algorithm called SEEDS [1].
Language:C++52 5 416
davidstutz/confidence-calibrated-adversarial-training
Implementation of Confidence-Calibrated Adversarial Training (CCAT).
Language:Python45 4 56
davidstutz/disentangling-robustness-generalization
CVPR'19 experiments with (on-manifold) adversarial examples.
Language:Python44 6 29
davidstutz/extended-berkeley-segmentation-benchmark
Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].
Language:C++43 3 519
davidstutz/nyu-depth-v2-tools
Tools used in [2] to pre-process the ground truth segmentations to evaluate superpixel algorithms.
Language:MATLAB25 3 115
davidstutz/googlemock-example
An example of using Google Mock inspired by Martin Fowler's "Mocks Aren't Stubs".
Language:C++24 4 111
davidstutz/pointnet-auto-encoder
Torch PointNet auto encoder implementation.
Language:C++20 3 34
davidstutz/bootstrap-file-upload
Minimal but elegant file upload button for Twitter Bootstrap and IE 7/8/9 support.
Language:HTML19 4 121
davidstutz/cvpr2019-adversarial-robustness
CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
Language:TeX14 4 02
davidstutz/pytorch-custom-c-cuda-operations
Example of easily implementing custom tensor operations in C and CUDA.
Language:Python14 3 01
davidstutz/probabilistic-pca
Python probabilistic PCA (PPCA) implementation.
Language:Python13 3 01
davidstutz/seminar-convolutional-neural-networks
Seminar paper "Understanding Convolutional Neural Networks".
Language:TeX13 4 07
davidstutz/aml-improved-shape-completion
ArXiv'18 implementation of amortized maximum likelihood (AML) for high-quality, weakly-supervised shape completion.
Language:C++10 5 13
davidstutz/icml2020-confidence-calibrated-adversarial-training
ICML'20 paper "Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks".
Language:TeX10 4 0
davidstutz/superpixel-benchmark-data
Converted datasets for davidstutz/superpixel-benchmark.
7 4 12
davidstutz/master-thesis-shape-completion
Master thesis "Learning 3D Shape Completion from Bounding Boxes using CAD Shape Priors".
Language:TeX5 3 01
davidstutz/seminar-cnn-image-retrieval
Seminar paper "Neural Codes for Image Retreival".
Language:TeX3 3 04
davidstutz/matlab-multi-label-connected-components
MEX wrapper for Ali Rahimi's multi-label connected components implementation in C++.
Language:C++2 3 16
davidstutz/proseminar-dart
RWTH Aachen University Proseminar 2012 Chair for Data Management and Data Exploration: Dart - A Brief Introduction
Language:TeX2 4 0
davidstutz/seminar-ipiano
Seminar paper "iPiano: Inertial Proximal Algorithm for Non-Convex Optimization".
Language:TeX2 3 0
davidstutz/seminar-neural-networks
Seminar paper "Introduction to Neural Networks".
Language:TeX2 3 06
davidstutz/kohana-media
Simple media/assets module for Kohana.
Language:PHP1 3 02
davidstutz/octnet-batch-normalization
Batch Normalization for OctNets.
Language:C++2 0
davidstutz/proseminar-dart-contacts
RWTH Aachen University Proseminar 2012 Chair for Data Management and Data Exploration: Dart - A Brief Introduction - Sample application "Contacts".
Language:JavaScript3 0
davidstutz/torch-volumetric-nnup
Volumetric nearest neighbor upsampling for Torch based on kmul00/torch-vol.
Language:Cuda3 1