10 Repositories
Python mc-dropout Libraries
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search DropNAS, a grouped operation dropout method for one-level DARTS, with better
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame
MassReportBot - Discord Mass Report Bot By Dropout
Discord Mass Report Bot By Dropout Discord Report Bot, Just Re-Made The "Admin R
Unofficial PyTorch implementation of Guided Dropout
Unofficial PyTorch implementation of Guided Dropout This is a simple implementation of Guided Dropout for research. We try to reproduce the algorithm
Code for the paper "Curriculum Dropout", ICCV 2017
Curriculum Dropout Dropout is a very effective way of regularizing neural networks. Stochastically "dropping out" units with a certain probability dis
Pytorch implementation of Learning Rate Dropout.
Learning-Rate-Dropout Pytorch implementation of Learning Rate Dropout. Paper Link: https://arxiv.org/pdf/1912.00144.pdf Train ResNet-34 for Cifar10: r
HCaptcha solver using requests and an image recognition package!
HCaptcha solver using requests and an image recognition package! Report Bug · Request Feature Features Image recognition Requests base
A discord token creator that uses the service capmonster for captcha solving!
Discord Token Creator A discord token creator that uses the service capmonster for captcha solving! Report Bug · Request Feature Features Autojoin dis
[Preprint] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Codes for [Preprint] Bag of Tricks for Training Deeper Graph
R-Drop: Regularized Dropout for Neural Networks
R-Drop: Regularized Dropout for Neural Networks R-drop is a simple yet very effective regularization method built upon dropout, by minimizing the bidi