jonasrauber

jonasrauber's Stars

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.6k3375.7k2.8k

• piku/piku

  The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.

  Language:Python5.8k32178134

• DeepLabCut/DeepLabCut

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  Language:Python4.7k1262k1.7k

• xtensor-stack/xtensor

  C++ tensors with broadcasting and lazy computing

  Language:C++3.4k911.2k399

• pantsbuild/pants

  The Pants Build System

  Language:Python3.3k675.9k640

• Cloud-CV/EvalAI

  :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

  Language:Python1.8k541.3k788

• ronf/asyncssh

  AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python asyncio framework.

  Language:Python1.6k38576157

• lcompilers/lpython

  Python compiler

  Language:C++1.5k341k164

• jonasrauber/eagerpy

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

  Language:Python695202340

• aappleby/hancho

  A simple pleasant build system in Python.

  Language:Python3594310

• evaluating-adversarial-robustness/adv-eval-paper

  LaTeX source for the paper "On Evaluating Adversarial Robustness"

  Language:TeX253361733

• greentfrapp/boundary-attack

  Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

  Language:Python9241022

• bethgelab/decompose

  Blind source separation based on the probabilistic tensor factorisation framework

  Language:Python4312211

• VoVAllen/tf-dlpack

  DLPack for Tensorflow

  Language:Python368114

• idlesign/ctyped

  Build ctypes interfaces for shared libraries with type hinting

  Language:Python23413

• berenslab/spikefinder_analysis

  Analysis code for the results of the spikefinder challenge

  Language:Jupyter Notebook126113

• jonasrauber/linear-region-attack

  A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

  Language:Python11202

• jonasrauber/uniformly-sampling-nd-ball

  Efficiently sampling vectors from the n-sphere and n-ball

  Language:Python11100

• jonasrauber/arxiv-bear-app

  My personal reference management system for arXiv papers using Bear.app

  9200

• jonasrauber/foolbox-native-tutorial

  Language:Jupyter Notebook9104

• jonasrauber/foolbox-native

  Foolbox Native brings native performance to Foolbox

  Language:Python7232

• PWhiddy/tensor-canvas

  A 2D graphics library that draws directly onto tensors and is cross-framework compatible

  Language:Python6302

• jonasrauber/analysis-by-synthesis

  Analysis by Synthesis — reimplemented

  Language:Python4205

• jonasrauber/foolbox-tensorflow-keras-applications

  The pretrained TensorFlow Keras models with a Foolbox Zoo compatible interface

  Language:Python4101

• elhusseiniali/loki

  A graphical tool to test the robustness of classifiers using Foolbox.

  Language:Python32251

• jonasrauber/attax

  Attax: adversarial attacks using JAX

  Language:Python310

• jonasrauber/lockfile

  lockfile provides a minimalistic and modern implementation of a simple file-based lock mechanism for Python

  Language:Python311

• jonasrauber/clipping-aware-rescaling

  Calculates eta such that norm(clip(x + eta * delta, a, b) - x) == eps.

  Language:Python210

• jonasrauber/norm

  Norm is a tiny command-line utility to compute the norm of the difference between two images

  Language:Nim210

• jonasrauber/cifar10-fast-reimplemented

  A simplified reimplementation of the original fast CIFAR10 training code

  Language:Python100