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21 search results found

Zoo Attack ⭐ 123

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

Deep Learning Specialization Coursera ⭐ 36

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Nonconvex Optimization ⭐ 26

Matlab/Octave toolbox for nonconvex optimization

Zoo Attack ⭐ 26

Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017

Optimization and Regularization variants of NMF

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Neuralnetwork ⭐ 9

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

Simplesvms.jl ⭐ 9

JuMP-based implementation of Support Vector Machines

Subsampled_cubic_regularization ⭐ 8

Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933

Cvxpyrepair ⭐ 7

Code for "Automatic repair of convex optimization problems".

This is an implementation of Truncated Nuclear Norm Regularization Method.

l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.

Improving Deep Neural Networks ⭐ 7

Improving-Deep-Neural-Networks

Crfpp Extensions ⭐ 6

CRF++-0.58 extended with a few stochastic gradient based optimization routines

A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.

Sparseblockjacobians.jl ⭐ 6

Tools for large and sparse least-squares problems

Deeplearning ⭐ 6

implement MLP, CNN RNN using chainer

Onlinemaxnorm Nips2014 ⭐ 5

Matlab code for NIPS 2014 work "Online Optimization for Max-Norm Regularization"

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