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TAG»PYTHON«

13thNOVEMBER2022

PROJECT

An example of a custom TensorFlow operation implemented in C++.

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06thNOVEMBER2022

PROJECT

OPEN SOURCE blenderpy Mesh/Voxel Visualization Figure 1 (click to enlarge): Visualization examples of an occupancy grid (left) and a mesh (right) of a chair. The right visualization also shows a point cloud observation (in red). Blender is an open-source “3D creation suite” — a tool for creating and manipulating 3D shapes and scenes. While I […]

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ARTICLE

How I Prepared for DeepMind and Google AI Research Internship Interviews in 2019

In 2019, I interviewed for research internships at DeepMind and Google AI. I have been asked repeatedly about my preparation for and experience with these interviews. As internship applications at DeepMind have been opened recently, I thought it could be valuable to summarize my experience and recommendations in this article.

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18thAUGUST2022

PROJECT

Examples, tools and resources for using Caffe’s Python interface pyCaffe.

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17thAUGUST2022

PROJECT

A template for extending PyTorch using C/CUDA operations.

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ARTICLE

Code Released: Conformal Training

The code for our ICLR’22 paper on learning optimal conformal classifiers is now available on GitHub. The repository not only includes our implementation of conformal training but also relevant baselines such as coverage training and several conformal predictors for evaluation. Furthermore, it allows to reproduce the majority of experiments from the paper.

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16thAUGUST2022

PROJECT

Python implementation of probabilistic principal component analysis (PPCA).

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16thAUGUST2022

PROJECT

3D mesh fusion, voxelization and evaluation for computer vision research.

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ARTICLE

Code Released: Adversarial Robust Generalization and Flatness

The code for my ICCV’21 paper relating adversarial robustness to flatness in the (robust) loss landscape is now available on GitHub. The repository includes implementations of various adversarial attacks, adversarial training variants and “attacks” on model weights in order to measure robust flatness.

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ARTICLE

Code Released: Adversarial Patch Training

The code for our paper on adversarial patch training on location-optimized adversarial patches is now available on GitHub. The repository includes a PyTorch implementation of our adversarial patch attack with location optimization as well as an adversarial training routine. The experiments on Cifar10 and GTSRB presented in the paper can easily be reproduced.

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