regularization-methods

There are 1 repository under regularization-methods topic.

chandar-lab / PatchUp
regularization-methods convolutional-neural-network pytorch
Language:Python 37
dizam92 / pyTorchReg
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
pytorch regularization-methods
Language:Python 37
Luehrsen / sd_regularization_images
Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"
dreambooth regularization regularization-methods stable-diffusion
37
mdpetters / RegularizationTools.jl
A Julia package to perform Tikhonov regularization for small to moderate size problems.
regularization-methods tikhonov-regularization ridge-regression inverse-problems
Language:Julia 11
GeorgeVern / AFTERV1.0
Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".
language-model fine-tuning adversarial-learning domain-adaptation regularization-methods
Language:Python 8
Distraict / Stable-Diffusion-Regularization-Images
A vast assortment of class regularization images in sets of 1500
dreambooth finetune regularization-methods stable-diffusion stable-diffusion-webui
4
inimah / protoinfomax
Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"
few-shot-text-classification zero-shot-classification out-of-domain-detection mutual-information regularization-methods
Language:Python 4
Joycechidi / MachineLearning
All my Machine Learning Projects from A to Z in (Python & R)
datapreprocessing python r regression simple-linear-regression multiple-linear-regression support-vector-regression--svr polynomial-regression decision-tree-regression random-forest-regression evaluating-regression-models-perf regularization-methods classification logistic-regression k-nearest-neighbors-k-nn support-vector-machine-svm kernel-svm naive-bayes decision-tree-classification random-forest-classification
Language:Jupyter Notebook 4
kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB
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.
linear-regression regularized-linear-regression bias-variance learning-curve cross-validation cost-function gradient polynomial-regression regularization-methods random
Language:MATLAB 4
victor7246 / WNUT-2020-Task-2
System developed by team datamafia in WNUT 2020 Task 2: Identification of informative COVID-19 English Tweets
roberta language-model regularization-methods tweet-classification binary-classification transformers huggingface-transformers
Language:Jupyter Notebook 4
AlePalu / fdaPDE
fdaPDE: Physics-Informed Spatial and Functional Data Analysis
functional-data-analysis spatial-statistics pde regularization-methods spatio-temporal-statistics statistics
Language:C++ 3
ashishpatel26 / Regularization-Collection-Deeplearning
This is Collection of Regularization Deep learning techniques with code and paper
deeplearning machinelearning dropout regularization regularization-methods regularization-hyperparameters dropout-probability alphadropout dropout-keras dropout-pytorch l1-normalization l2normalization
3
flowel1 / nonlinear-regression
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
nonlinear-regression nonlinear-models python python3 levenberg-marquardt regularization regularized-regression bayesian-inference prior-distribution regularization-methods regularization-parameters
Language:Python 3
KrystynaGrzesiak / gslope
Sparse Gaussian graphical models with Sorted L-One Penalized Estimation
graphical-models sparse-modeling regularization-methods high-dimensional-data
Language:R 3
NvsYashwanth / machinelearningmaster
All about machine learning
batch-gradient-descent documentation explanation gradient-descent lasso-regression learning-curves learning-rate linear-regression logistic-regression machine-learning matplotlib mini-batch-gradient-descent numpy polynomial-regression regression regularization-methods ridge-regression scikit-learn stochastic-gradient-descent tutorial
Language:Jupyter Notebook 3
rpatrik96 / lod-wmm-2019
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
wmm weight-reinitialization weight-shuffling weight-matrix pytorch-implementation pytorch generalization overfitting regularization regularization-methods deep-neural-networks deep-learning deep-learning-algorithms
Language:Python 3
sauriii98 / Deep-Learning-algorithms
Implementation of all basic algorithms needed in Deep Learning
deep-learning neural-networks cat-notcat-classification logistic-regression-using-nn cnn cnn-classification cnn-model basic-algorithm deep-neural-networks deep-learning-algorithms binary-classification logistic-regression-algorithm gradient-check initialization regularization-methods optimization-methods optimization-algorithms residual-networks
Language:Jupyter Notebook 3
abs711 / Optimizing-representations-for-gait-generation
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
autoencoders deep-learning gait-recognition person-recognition regularization-methods representation-learning style-transfer
2
CarolinaPerdomo / Thesis
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
mathematica regularization divergences implicit-regularization particle-physics regularization-methods renormalization renormalization-group theoretical-physics thesis thesis-project
Language:Mathematica 2
mbidu / Machine-Learning-Projects
Machine Learning Projects
config github-config machine-learning python supervised-learning supervised-machine-learning regression-algorithms regression-models regularization-methods logistic-regression k-means-clustering k-means-implementation-in-python neural-networks mean normalization neural-network feedforward-neural-network backpropagation-neural-network regularization
Language:Python 2
Subangkar / Improving-Deep-Neural-Networks-Deeplearning.ai-Coursera-Assignments
Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019
deep-neural-networks regularization-methods regularization gradient-descent-momentum gradient-descent-optimizers gradient-descent-methods coursera-machine-learning coursera-assignment andrew-ng-machine-learning andrew-ng-course deeplearning-ai tensorflow-examples
Language:Jupyter Notebook 2
ADITYASHAH-IITP / IRIS_Dataset_Classfication
Iris plants dataset
iris-dataset deep-neural-networks regularization-methods
Language:Jupyter Notebook 1
ADITYASHAH-IITP / Measure-of-Diabetes-progression
A quantitative measure of disease progression one year after baseline
diabetes-prediction quantitative-measure deep-neural-networks regularization-methods early-stopping dropout-layers
Language:Jupyter Notebook 1
alejandrods / Noise-Regularization-Method-Neural-Network
Adding noise as regularization method to reduce overffiting in neural networks
regularization-methods neural-network overfitting underfitting keras google-colab
Language:Jupyter Notebook 1
aliyzd95 / Optimization-and-Regularization-from-scratch
Implementation of optimization and regularization algorithms in deep neural networks from scratch
deep-learning deep-neural-networks optimization optimization-algorithms regularization regularization-methods adagrad adam gradient-descent rmsprop l1-regularization l2-regularization cifar cifar-10 cifar10
Language:Python 1
ar8372 / CutMix-Regularization-Strategy-to-Train-Strong-Classifiers-with-Localizable-Features
Through this project we will try to understand CutMix by implementing it on a simple problem of cat-vs-dog classification.
cutmix-augmentation paper-implementation regularization-methods localizable-features
Language:Jupyter Notebook 1
cassnutt / Detecting_pneumonia
Using over 5,800 images of chest radiographs, I utilized machine learning and neural networks to predict when pneumonia is present. The best model was able to predict over 80% accuracy on the test data with a false negative rate that was less than 3%.
neural-network machine-learning classification transfer-learning augmented-images regularization-methods
Language:Jupyter Notebook 1
KristofPusztai / MixReg
Stable-Baselines Implementation of MixReg regularization technique for PPO2
reinforcement-learning regularization-methods
Language:Python 1
lironmiz / machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
1
saibharath2 / linear-regression
linear regression
supervised-learning supervised-machine-learning linear-regression linear-models regression-algorithms machine machine-learning interest-rates regularized-linear-regression regularization-methods
Language:Jupyter Notebook 1
Sushmitha-93 / CMPE275---Machine-Learning-Assigments-and-Labs
Machine Learning Course Topic wise Assignments and Projects
artficial-neural-network classification-algorithm clustering-algorithm convolutional-neural-networks machine-learning natural-language-processing pandas python regression-algorithms regularization-methods sentiment-analysis sklearn tensorflow time-series-analysis numpy plotly
1
Tikhon-Radkevich / CourseYandexML
These training sessions in machine learning, conducted by Yandex, are dedicated to classical machine learning. This offers an opportunity to reinforce theoretical knowledge through practice on training tasks.
bagging boosting classical-machine-learning decision-tree ensemble-model linear-models permutation-importance regularization-methods
Language:Jupyter Notebook 1
alecruces / SafeRoadsCA
Analyzing car accident fatalities to pave the way for preventative measures and safer transportation using Statistical and Machine Learning algorithms
knn-classification logistic-regression regularization-methods
0
alef-s / ReneWind_Model_Tuning
The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
adaboostclassifier data-visualization exploratory-data-analysis gradient-boosting hyperparameter-tuning random-forest regularization-methods sampling-methods xgboost-classifier
Language:Jupyter Notebook 0
koushik16 / Bias-Variance-Decomposition
Implementing bias-variance-noise decomposition on binary data from Gaussian distributions. Create functions for noise, bias, and variance computation, leveraging Bayes' rule, ridge regression, and model averaging. Aim to visualize error changes with regularization.
applied-machine-learning bias-variance decomposition-methods machine-learning regularization-methods
Language:Jupyter Notebook
magnusneuman / Modular-GLASSO
Code for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data"
community-detection graphical-models regularization-methods
Language:Jupyter Notebook

regularization-methods

chandar-lab / PatchUp

dizam92 / pyTorchReg

Luehrsen / sd_regularization_images

mdpetters / RegularizationTools.jl

GeorgeVern / AFTERV1.0

Distraict / Stable-Diffusion-Regularization-Images

inimah / protoinfomax

Joycechidi / MachineLearning

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

victor7246 / WNUT-2020-Task-2

AlePalu / fdaPDE

ashishpatel26 / Regularization-Collection-Deeplearning

flowel1 / nonlinear-regression

KrystynaGrzesiak / gslope

NvsYashwanth / machinelearningmaster

rpatrik96 / lod-wmm-2019

sauriii98 / Deep-Learning-algorithms

abs711 / Optimizing-representations-for-gait-generation

CarolinaPerdomo / Thesis

mbidu / Machine-Learning-Projects

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

ADITYASHAH-IITP / IRIS_Dataset_Classfication

ADITYASHAH-IITP / Measure-of-Diabetes-progression

alejandrods / Noise-Regularization-Method-Neural-Network

aliyzd95 / Optimization-and-Regularization-from-scratch

ar8372 / CutMix-Regularization-Strategy-to-Train-Strong-Classifiers-with-Localizable-Features

cassnutt / Detecting_pneumonia

KristofPusztai / MixReg

lironmiz / machine-learning-specialization-course

saibharath2 / linear-regression

Sushmitha-93 / CMPE275---Machine-Learning-Assigments-and-Labs

Tikhon-Radkevich / CourseYandexML

alecruces / SafeRoadsCA

alef-s / ReneWind_Model_Tuning

koushik16 / Bias-Variance-Decomposition

magnusneuman / Modular-GLASSO