florianmerkle Goto Github PK

adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

catalystcoding

cfavorita

A project for solving demand forecast of a medium retailer using a simple Deep Learning model

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

deep-learning-reading-list

deeplabv3finetuning

Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch

dino-vit_fruit_quality_assessment

Code for the paper "Facilitated machine learning for image-based fruit quality assessment"

electricdemandforecasting-dl

Electricity demand forecasting with temporal convolutional networks

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-v3

Starter app for fastai v3 model deployment on Render

fastai1

v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.

florianmerkle.github.io

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

forecasting-retail-sales-using-google-trends-and-machine-learning

Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.

game-over-eva

human-perception-aware-adversarial-examples

network-pruning-and-robustness

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

pruning-and-explainability

pruning_for_explainability

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.

pytorch-network-pruning

react-firebase-boilerplate

react-native-material-dropdown

Material dropdown with consistent behaviour on iOS and Android

react-native-material-selectize

A React Native component inspired to Selectize which follows Material Design guidelines.

smart-stlf

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.

spam-filter

surfcheck

todo-rn-app

twitter-sentiment-analysis

A twitter sentiment analysis tool powered by gcp and tweepy