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agmb-docker

Docker containers for AG Bethge

analysis-by-synthesis

Analysis by Synthesis — reimplemented

apnagent

Node.js adapter for Apple Push Notification (APN) Service.

arxiv-bear-app

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

attax

Attax: adversarial attacks using JAX

bearapp-tag2link

Create Links to BearApp Tags

brackets

An open source code editor for the web, written in JavaScript, HTML and CSS.

c2s

A toolbox for inferring spikes from calcium traces.

c2s-completion

Zsh completion support for c2s.

c2s-docker

Dockerfile for the c2s toolbox https://github.com/lucastheis/c2s

c2s-ipython-docker

Dockerfile for the c2s toolbox with IPython support https://github.com/lucastheis/c2s

cifar10-fast-reimplemented

A simplified reimplementation of the original fast CIFAR10 training code

cleverhans

A library for benchmarking vulnerability to adversarial examples

clipping-aware-rescaling

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

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cpython

The Python programming language

crowdai

Fighting for Open Science with Open Data

datajoint-tutorial

Tutorial Documentation https://tutorials.datajoint.io/

discreteentropyestimators.jl

Discrete Entropy Estimators implemented in Julia

docker

Information and scripts to run and develop the Bethge Lab Docker containers

eagerpy

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

example_foolbox_model

fblualib

Facebook libraries and utilities for Lua

foolbox

Python toolbox to create adversarial examples that fool neural networks

foolbox-native

Foolbox Native brings native performance to Foolbox

foolbox-native-tutorial

foolbox-tensorflow-keras-applications

The pretrained TensorFlow Keras models with a Foolbox Zoo compatible interface

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

jax

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

joss

The Journal of Open Source Software