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531 search results found

[CVPR 2021] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

Removing_cosine_window_from_cf_trackers ⭐ 12

Shake_shake ⭐ 12

Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)

Traffic Sign Cnn ⭐ 12

Deep learning network for traffic sign image classification

Image_caption_with_semantic_attenion ⭐ 12

image caption with semantic attention

Labelrelaxation ⭐ 12

Supplementary material and code for the novel label relaxation approach as presented at AAAI21 by Julian Lienen and Eyke Hüllermeier.

📊 Generalized linear regression models with network-regularization in R.

Hyperrecon ⭐ 12

Code for "HyperRecon: Computing Multiple Image Reconstructions with a Single Hypernetwork"

Grpregoverlap ⭐ 12

Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates

Pinvprob ⭐ 12

Python code for the linear inverse problem

Machine learning algorithms implemented in Scala on Spark

Yet another regression toolkit

Structured_tuning_srl ⭐ 12

Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

Caffe_increg ⭐ 12

IJCNN-19 and IEEE JSTSP-19 "Structured Pruning for Efficient ConvNets via Incremental Regularization"; BMVC-18 "Structured probabilistic pruning for convolutional neural network acceleration"

Cubic_reg ⭐ 12

Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization algorithm

Bpe Dropout ⭐ 12

An official implementation of "BPE-Dropout: Simple and Effective Subword Regularization" algorithm.

Manifold_mixup ⭐ 12

Tensorflow implementation of the Manifold Mixup machine learning research paper

Pytorch Consistency Regularization ⭐ 12

PyTorch implementation of consistency regularization methods for semi-supervised learning

Ml Stanford Coursera ⭐ 12

Exercises submitted to the Machine Learning course by Stanford done through Coursera

Deeplearning_models_classifier_tutorial ⭐ 12

使用常见的CNN架构实现CIFAR分类。

Machinelearningsamples Iris ⭐ 12

Pytorch Face Generator Srresnet Based Acgan Dragan ⭐ 12

ACGAN Face Generator based on a modification from SRResNet, trained with DRAGAN regularization.

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Naver Ai Hackathon 2018 ⭐ 12

Deeplearninghandbook ⭐ 12

Lecture Slides and Programming Exercises that may help study the deep learning book by Goodfellow, Bengio and Courville.

Clustrviz ⭐ 12

Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization

PythonとCythonで出来てる日本語形態素解析エンジン🚧

Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems

Comp_ui_toolbox ⭐ 11

Computational Ultrasound Imaging Toolbox for MATLAB

Machine Learning From Scratch ⭐ 11

Popular machine learning algorithms, including GBDT, SVM and NN, implemented with simple python code.

A python implementation of discrete optimal transport with a Tsallis entropy regularization.

Relational Autoencoders ⭐ 11

Learning Autoencoders with Relational Regularization

a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse

Dropout_tutorial_in_pytorch ⭐ 11

Dropout as Regularization and Bayesian Approximation

Learning Class Invariant Features ⭐ 11

Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".

Logistic Regression ⭐ 11

Machine Learning::Classifier

Socializedwordembeddings ⭐ 11

AROW++ An implementation of the efficient confidence-weighted classifier

Spark Glmnet ⭐ 11

A Scala implementation of glmnet for Spark MLlib from "Regularization Paths for Generalized Linear Models via Coordinate Descent" (http://web.stanford.edu/~hastie/Papers/glmnet.pdf

Python package for Sparse Multinomial Logistic Regression (SMLR)

Graph Multi Nmf Feature Clustering ⭐ 10

Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.

Deeplearning_ai_books ⭐ 10

黄海广博士整理的【吴恩达】深度学习笔记

R Package for Hierarchical Regularized Regression to Incorporate External Data

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization

Nystromcore ⭐ 10

Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.

Code accompanying our WWW 2020 paper

Carnd Semantic Segmentation ⭐ 10

CarND Semantic Segmentation

Netnmf Sc ⭐ 10

netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data

Adversarial Subword Regularization forRobust Neural Machine Translation

Pytorch Deepglr ⭐ 10

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

Pycrfsuite_spacing ⭐ 10

python-crfsuite를 이용한 한국어 띄어쓰기 교정기

Octsegmentation ⭐ 10

Reference Code for the publication "Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization" (see http://www.sciencedirect.com/science/article/pii/S

Shearlet Transform Tensorflow ⭐ 10

This is an implementation of Shearlet Transform (ST) for light field reconstruction using TensorFlow 1.x.

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

Cure Curvature Regularization Via Biharmonic Extension ⭐ 9

Code for "CUBE: Curvature Regularization Via Weighted Nonlocal BiHarmonic"

Regularized and Pruned Extreme Learning Machines in R

Regularized Logistic Regression

Imagedehaze ⭐ 9

Matlab codes: Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

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

Short description for quick search

pulsar: Parallel Utilities for Lambda Selection along a Regularization Path

Wasserstein regularization for sparse multi-task regression

Simplesvms.jl ⭐ 9

JuMP-based implementation of Support Vector Machines

Noisy_dropout_regularization ⭐ 9

A quick reference for how to run many models in R.

Neuralnetwork ⭐ 9

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

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

PCOMMEND Hyperspectral Unmixing & Endmember Estimation Code - Matlab Implementation

C++ library for Regularized 2D and 3D Tomography Reconstructions.

Deepadverserialregulariser ⭐ 9

L Gm Loss For Gluon ⭐ 9

MXNet/Gluon implement of L-GM-Loss

Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Neural Networks And Deep Learning ⭐ 9

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

Tfcheatsheet ⭐ 9

Tensorflow cheat sheet for reference

Srgans Spectral Regularization Gans ⭐ 9

Fully_unsupervised_cnn_registration_keras ⭐ 8

Fully unsupervised 2D/3D image registration with ConvNet.

Robust Representation ⭐ 8

Comparatornetwork_pytorch ⭐ 8

This repo implements VGG's Comparator Network [1].

Keras Targeted Dropout ⭐ 8

Targeted dropout implemented in Keras

Xrce_msda_da_regularization ⭐ 8

Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation

Shake Shake Keras ⭐ 8

Keras implementation of Shake-Shake regularization

Actor Critic Algs On Tensorflow ⭐ 8

Distributed RL implementations

Ffjord Rnode ⭐ 8

Regularized Neural ODEs (RNODE)

Non-negative matrix factorization using MUR, ANLS, ADMM or AO-ADMM.

Google Ml Bootcamp ⭐ 8

구글 머신러닝 부트캠프 - 관련 파일 자료 (과제 번역 포함)

Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power"

Shadow semi-supervised consistency regularization PyTorch library

Z Spacing ⭐ 8

Estimate the correct positions of sections of three dimensional image data.

MoMA: Modern Multivariate Analysis in R

Deep_matrix_factorization ⭐ 8

Code for Implicit Regularization in Deep Matrix Factorization.

Gan Hallucination ⭐ 8

This projects investigates the possible hallucinations or adversarial attacks for solving linear inverse problems. The goal is to understand the possible hallucinations, define metrics to quantify the hallucination, and find regularization techniques to make deep reconstruction nets robust against hallucination.

Icm Matcaffe ⭐ 8

Scene Parsing via Integrated Classification Model and Variance-Based Regularization (Matlab&Caffe), In CVPR 2019

Eigenvalue Decay Regularizer For Keras ⭐ 8

Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.

Surface Area Regularization ⭐ 8

This repository contains a python implementation of our method "Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo", CVPR 2015

Erac Vaml ⭐ 8

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction

MATLAB implementation of DAG SVM

A simple MATLAB regression toolbox

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

Linear Model with Tree-Based Lasso Regularization for Rare Feature Selection

Neuromatchteachingdemo ⭐ 8

301-400 of 531 search results

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