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foolbox

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

forgetting

Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

format

ACM consolidated LaTeX styles

foundry

Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.

frida

Clone this repo to build Frida

fsl-global

Few-Shot Learning with Global Class Representations

g3h4n.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gal

[ICML 2021] Information Obfuscation of Graph Neural Networks

gan-slimming

[ECCV 2020] "All-in-One GAN Compression by Unified Optimization" by Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, and Zhangyang Wang

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn-lpa

A tensorflow implementation of GCN-LPA

gem

gen2-uhf-rfid-reader

Gen2 UHF RFID reader with USRP and GNU Radio. Tested with USRPN200 and GNU Radio v3.7.4

gender-age-classification

gender/age classification

generalizedlouvain

Implements a generalized Louvain algorithm (C++ backend and Matlab interface)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

genode

Genode OS Framework

gephi-toolkit

Gephi Toolkit - https://gephi.org/toolkit

gfl

GFL for AAAI 2020

github

share between pcs

glove

GloVe model for distributed word representation

gmic

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

gnn-model-explainer

gnn explainer

gnn-tail-generalization

gnnguard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

gnnpapers

Must-read papers on graph neural networks (GNN)

go-ethereum

Official Go implementation of the Ethereum protocol

google-research

Google Research

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"