florianmerkle Goto Github PK
Type: User
Type: User
LaTeX source for the paper "On Evaluating Adversarial Robustness"
A project for solving demand forecast of a medium retailer using a simple Deep Learning model
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch
Code for the paper "Facilitated machine learning for image-based fruit quality assessment"
Electricity demand forecasting with temporal convolutional networks
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
The fastai deep learning library, plus lessons and tutorials
Starter app for fastai v3 model deployment on Render
v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
Robust evasion attacks against neural network to find adversarial examples
The IoT Security Testing Guide (ISTG) provides a comprehensive methodology for penetration tests in the IoT field, offering flexibility to adapt innovations, and developments in the IoT market while still ensuring comparability of test results.
This is the accompanying repository of the master's thesis with the title "How much pruning is too much? The effects of neural network pruning on explainability". The contents of this repository allow to recreate the results of our experiments.
Material dropdown with consistent behaviour on iOS and Android
A React Native component inspired to Selectize which follows Material Design guidelines.
This article proposes a smart load forecasting scheme to forecast the short-term load for an actual sample network in the presence of uncertainties such as weather and the COVID-19 epidemic.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.