regularization-methods

Here are 42 public repositories matching this topic...

dizam92 / pyTorchReg

Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.

pytorch regularization-methods

Updated May 26, 2022
Python

chandar-lab / PatchUp

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pytorch convolutional-neural-network regularization-methods

Updated Dec 8, 2022
Python

GeorgeVern / AFTERV1.0

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Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".

language-model adversarial-learning domain-adaptation fine-tuning regularization-methods

Updated Jun 22, 2022
Python

mdpetters / RegularizationTools.jl

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A Julia package to perform Tikhonov regularization for small to moderate size problems.

ridge-regression inverse-problems tikhonov-regularization regularization-methods

Updated Nov 30, 2022
Julia

Luehrsen / sd_regularization_images

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Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"

regularization regularization-methods stable-diffusion dreambooth

Updated Dec 26, 2022

victor7246 / WNUT-2020-Task-2

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System developed by team datamafia in WNUT 2020 Task 2: Identification of informative COVID-19 English Tweets

transformers language-model binary-classification roberta regularization-methods tweet-classification huggingface-transformers

Updated Nov 20, 2020
Jupyter Notebook

inimah / protoinfomax

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Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"

mutual-information regularization-methods out-of-domain-detection zero-shot-classification few-shot-text-classification

Updated Apr 13, 2022
Python

Joycechidi / MachineLearning

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All my Machine Learning Projects from A to Z in (Python & R)

python r naive-bayes regression classification logistic-regression polynomial-regression decision-tree-regression kernel-svm simple-linear-regression random-forest-regression multiple-linear-regression datapreprocessing support-vector-regression--svr evaluating-regression-models-perf regularization-methods k-nearest-neighbors-k-nn support-vector-machine-svm decision-tree-classification random-forest-classification

Updated Aug 15, 2019
Jupyter Notebook

KrystynaGrzesiak / gslope

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Sparse Gaussian graphical models with Sorted L-One Penalized Estimation

high-dimensional-data graphical-models sparse-modeling regularization-methods

Updated Oct 3, 2020
R

LamineTou / Drug-discovery

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I am working on the discovery of new potential therapeutic tagets using Machine learning on multi-omics data.

machine-learning deep-learning neural-network pytorch target drug-discovery longitudinal-data graph-convolutional-networks ngs-pipeline multimodal-data regularization-methods autoencoder-classification

Updated Dec 16, 2022

flowel1 / nonlinear-regression

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Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets

python python3 levenberg-marquardt regularization bayesian-inference prior-distribution nonlinear-regression nonlinear-models regularized-regression regularization-methods regularization-parameters

Updated Jun 23, 2020
Python

ashishpatel26 / Regularization-Collection-Deeplearning

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This is Collection of Regularization Deep learning techniques with code and paper

dropout machinelearning regularization deeplearning regularization-methods regularization-hyperparameters dropout-probability alphadropout dropout-keras dropout-pytorch l1-normalization l2normalization

Updated Jun 1, 2020

sauriii98 / Deep-Learning-algorithms

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Implementation of all basic algorithms needed in Deep Learning

deep-neural-networks deep-learning cnn neural-networks deep-learning-algorithms optimization-methods residual-networks optimization-algorithms binary-classification cnn-model basic-algorithm logistic-regression-algorithm initialization cnn-classification gradient-check cat-notcat-classification logistic-regression-using-nn regularization-methods

Updated Jan 27, 2019
Jupyter Notebook

rpatrik96 / lod-wmm-2019

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Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019

deep-neural-networks deep-learning pytorch deep-learning-algorithms regularization generalization overfitting wmm regularization-methods pytorch-implementation weight-reinitialization weight-shuffling weight-matrix

Updated Jun 22, 2019
Python

NvsYashwanth / machinelearningmaster

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All about machine learning

documentation machine-learning tutorial numpy linear-regression scikit-learn regression logistic-regression matplotlib gradient-descent ridge-regression polynomial-regression explanation learning-rate stochastic-gradient-descent lasso-regression batch-gradient-descent mini-batch-gradient-descent learning-curves regularization-methods

Updated Oct 4, 2020
Jupyter Notebook

Subangkar / Improving-Deep-Neural-Networks-Deeplearning.ai-Coursera-Assignments

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Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019

deep-neural-networks regularization coursera-machine-learning tensorflow-examples coursera-assignment andrew-ng-course deeplearning-ai gradient-descent-optimizers gradient-descent-momentum regularization-methods gradient-descent-methods andrew-ng-machine-learning

Updated Aug 16, 2019
Jupyter Notebook

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

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Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.

random linear-regression cross-validation gradient polynomial-regression learning-curve regularized-linear-regression bias-variance cost-function regularization-methods