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Search results for python regularization
python
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regularization
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295 search results found
Lddg
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10
The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.
Rest
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10
Code accompanying our WWW 2020 paper
Smlr
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10
Python package for Sparse Multinomial Logistic Regression (SMLR)
Advsr
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10
Adversarial Subword Regularization forRobust Neural Machine Translation
Shearlet Transform Tensorflow
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10
This is an implementation of Shearlet Transform (ST) for light field reconstruction using TensorFlow 1.x.
Pr4nmt
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10
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Pytorch Deepglr
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10
A pytorch implementation of Deep Graph Laplacian Regularization for image denoising
Neuralnetwork
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9
Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers
Srgans Spectral Regularization Gans
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9
Deepadverserialregulariser
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9
L Gm Loss For Gluon
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9
MXNet/Gluon implement of L-GM-Loss
Rlr
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9
Regularized Logistic Regression
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Mtw
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9
Wasserstein regularization for sparse multi-task regression
Actor Critic Algs On Tensorflow
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8
Distributed RL implementations
Gan Hallucination
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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.
Fully_unsupervised_cnn_registration_keras
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8
Fully unsupervised 2D/3D image registration with ConvNet.
Surface Area Regularization
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8
This repository contains a python implementation of our method "Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo", CVPR 2015
Shake Shake Keras
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8
Keras implementation of Shake-Shake regularization
Xrce_msda_da_regularization
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8
Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
Tensorflow Rl
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8
텐서플로우 강화학습 튜토리얼 : AlphaGo부터 스타크래프트2 강화학습 에이전트 만들어보기
Keras Targeted Dropout
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8
Targeted dropout implemented in Keras
Comparatornetwork_pytorch
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8
This repo implements VGG's Comparator Network [1].
Robust Representation
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8
Eigenvalue Decay Regularizer For Keras
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8
Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.
Par
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8
Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power"
Shadow
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8
Shadow semi-supervised consistency regularization PyTorch library
Erac Vaml
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8
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
Nmf
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8
Non-negative matrix factorization using MUR, ANLS, ADMM or AO-ADMM.
Ffjord Rnode
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8
Regularized Neural ODEs (RNODE)
Regularized Rbm
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7
A regularized version of RBM for unsupervised feature selection.
Imp_reg_dl_not_norms
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7
Code for Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Drophead Pytorch
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7
An implementation of drophead regularization for pytorch transformers
Logistic Regression Classifier With L2 Regularization
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7
Logistic regression with L2 regularization for binary classification
Capstoneproject_house_prices_prediction
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7
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi
Removing Bias In Multi Modal Classifiers
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7
Drop Activation
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7
The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".
Pyros
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7
[PY]thon [R]ec[O]mmender [S]ystems library
Saliency 2018 Videosalgan
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7
Temporal Regularization of Saliency Maps in Egocentric Videos
Vpc
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7
[ICTAI 2018] This code is a TensorFlow implementation of the paper "Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning"
Ssr
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7
structured sparsity regularization
Shake Shake Tensorflow
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7
Simple Code Implementation of "Shake-Shake Regularization using TensorFlow.
Human Activity Recognition With Temporal Regularization
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7
Cvxpyrepair
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7
Code for "Automatic repair of convex optimization problems".
Gan Techniques Tensorflow
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7
GANs: Losses, Regularizations and Normalizations
Relaxedlasso
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7
Implementation of Relaxed Lasso Algorithm for Linear Regression.
Credible_learning
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7
Code for Learning Credible Models
L1l2py
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7
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
Dmn Chatbot
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7
Chat bot using Dynamic Memory Network
Deep Generative Models
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6
Deep generative models in Tensorflow
Gor
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6
PyTorch code for Group Orthogonalization regularization
Temporal_regularization
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6
Temporal Regularization for Markov Decision Process
Word2vec
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6
Word2Vec in pure Python
Counterfactual Explanation Based On Gradual Construction For Deep Networks
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6
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
Weight Decay
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6
Applied Machine Learning
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6
Applied Machine Learning
Fisher Rao Regularization
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6
Diconet
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6
Carnd Semantic Segmentation
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6
My solution for the semantic segmentation project at Udacity Self Driving Car Nanodegree
Softmax Classifier
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6
Resnet Regularization Pruning
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6
An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.
Deeplearning
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6
implement MLP, CNN RNN using chainer
Airtools
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6
Port of P.C. Hansen's notable AIRtools Matlab suite of inversion / regularization tools
Variational Autoencoder For Novelty Detection
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6
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
Adamixup
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6
Ml Privacy Regulization
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6
Sk Regularization
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6
Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)
Scproject
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6
Transfer Learning of Gene Expression Signatures in Python.
Interp_regularization
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6
A novel neural network gradient regularization scheme for adversarial robustness and interpretability.
Sgdforlinearmodels
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6
This package implements the Stochastic Gradient Descent algorithm in Python for Linear Regression, Ridge Regression, Logistic Regression and Logistic Regression with L2 Regularization.
Pytorch Sigua
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6
Pytorch implemetations of SIGUA
Tenet_training
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6
This is an official pytorch implementation of 'Group-wise Inhibition based Feature Regularization for Robust Classification' (ICCV 2021 accepted paper). p.s.: The current repository is the version originally submitted to CMT as supplementary materials.
Tf.estimator_tutorial
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6
A real life tutorial for the new TF high level API
Regularization_for_machine_learning
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6
Regularization for Machine Learning-RegML GUI
Safe_grid_search
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6
Approximation path and optimal selection of regularization hyperparameter for some machine learning problems.
Networks
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6
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Airbnb Pricing Prediction
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5
Harvard Project - Accuracy improvement by adding seasonality premium pricing
Label
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5
Is the label good? we need to process noise, represent label and regularization
Structuredsparsityregularization
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5
Structured Sparisty Regularizers
Structured Output Ae
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5
Repository for the code of the paper "Deep Neural Networks Regularization for Structured Output Prediction"
German Traffic Sign Classifier
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5
Anomaly Detection
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5
Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.
Dlgeneralization
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5
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization" and do something similar on NLP
Parseval Networks
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5
An (imperfect) implementation of wide resnets and Parseval regularization
Deep_learning_keras
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5
notebooks of learning Deep learning by Keras
Keras Dropblock
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5
DropBlock:A regularization method for convolutional networks
Dcn
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5
Genenet
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5
Bcred
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5
The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)
Fpruning.mxnet
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5
Filter-level pruning with the implement of MXNet-Gluon.
Jare
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5
Code for Towards a Better Understanding and Regularization of GAN Training Dynamics
Gcn.pytorch
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5
Graph Convolutional Networks for Text Classification.
Sc Dnn
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5
Stochastic Computing for Deep Neural Networks
Agmax
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5
PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation
Sln
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5
ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
Logistic Sgd
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5
Tensornet
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5
A high-level deep learning library built on top of PyTorch.
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