Roland Zimmermann (zimmerrol)

zimmerrol

Geek Repo

Company:University of Tübingen

Location:Tübingen

Home Page:rzimmermann.com

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Organizations
bethgelab
kalekiu

Roland Zimmermann's repositories

keras-utility-layer-collection

Collection of custom layers and utility functions for Keras which are missing in the main framework.

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eagerbib

Updating and normalizing your BibTex bibliography.

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AnalysisBySynthesis

Adversarially Robust Neural Network on MNIST.

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css-in-readme-like-wat

Style your readme using CSS with this simple trick

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eagerbib-data

Data repository for eagerbib - your tool for updating and normalizing your BibTex bibliography.

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eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

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foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

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foolbox-native

Foolbox Native brings native performance to Foolbox

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fooling-feature-visualizations

Code for "Don't trust your eyes: on the (un)reliability of feature visualizations"

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FrEIA

Framework for Easily Invertible Architectures

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ImageNet-Adversarial-Training

Feature Denoising for Improving Adversarial Robustness

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jsPsych

A JavaScript library for creating and running behavioral experiments in a web browser

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llm-attacks

Universal and Transferable Attacks on Aligned Language Models

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lucent

Lucid library adapted for PyTorch

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

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obsidian-releases

Community plugins list, theme list, and releases of Obsidian.

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pocket-casts-android

Pocket Casts Android 🎧

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psychopy

For running psychology and neuroscience experiments

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ralis

Code for the paper "Reinforced Active Learning for Image Segmentation"

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rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

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shifthappens-icml-2022

Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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tensorflow

An Open Source Machine Learning Framework for Everyone

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torch_truncnorm

Truncated Normal distribution in PyTorch

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