regularization | Topic | Ecosyste.ms: Repos

Topic: "regularization"

imedslab/semixup

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

Language: Python - Size: 314 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 6

ermongroup/HyperSPN

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

Language: Python - Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2

wyattowalsh/regularized-linear-regression-deep-dive

Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization in Python is included.

Language: Jupyter Notebook - Size: 51 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 1

Nikronic/Coursera-Machine-Learning 📦

In this repository I implemented all assignments in python for the purpose of learning python

Language: Jupyter Notebook - Size: 9.61 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 4

meowoodie/Regularized-RBM

A regularized version of RBM for unsupervised feature selection.

Language: Python - Size: 1.59 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 2

J3FALL/LASSO-Regression

LASSO Regularization in C++

Language: C++ - Size: 2.25 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 5

m-clark/R-models

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

Language: R - Size: 21 MB - Last synced at: 3 days ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 1

roatienza/agmax

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

Language: Python - Size: 873 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

julilien/LabelRelaxation

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

Language: Python - Size: 637 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 4

sbelharbi/learning-class-invariant-features

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

Language: Python - Size: 18.7 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 6

VinAIResearch/HyperCUT

HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering (CVPR'23)

Language: Python - Size: 63.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 1

mschiffn/comp_ui_toolbox

Computational Ultrasound Imaging Toolbox for MATLAB

Language: MATLAB - Size: 3.07 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 3

cperales/pyridge

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

Language: Python - Size: 7.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 4

ttungl/Deep-Learning

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 6

davpinto/elmnet

Regularized and Pruned Extreme Learning Machines in R

Language: R - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 1

romain-e-lacoste/sparklen

A statistical learning toolkit for high-dimensional Hawkes processes in Python

Language: Python - Size: 250 KB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 0

jeremy-london/solve-by-hand

Demystify AI concepts: hand-solved problems translated into code for clarity.

Language: Python - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 3

iantimmis/DropBlock-Keras-Implementation

Paper Reproduction: "DropBlock: A regularization method for convolutional networks"

Language: Jupyter Notebook - Size: 588 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 6

akhilvasvani/machine-learning-basics

Basics for Machine Learning

Language: Python - Size: 4.47 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 5

luonglearnstocode/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

My Solutions to Programming Assignments from the Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization course by deeplearning.ai

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 17

amayumradia/AirBnB-pricing-prediction

Harvard Project - Accuracy improvement by adding seasonality premium pricing

Language: Jupyter Notebook - Size: 46.6 MB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 10 - Forks: 5

ZhouYuxuanYX/Maximum-Suppression-Regularization

This is the official repository of our paper "MaxSup: Overcoming Representation Collapse in Label Smoothing"

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9 - Forks: 2

LinusWu/TENET_Training

This is an official pytorch implementation of 'Group-wise Inhibition based Feature Regularization for Robust Classification' (ICCV 2021 accepted paper).

Language: Python - Size: 49.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

mdpetters/DifferentialMobilityAnalyzers.jl

A Julia package for working differential mobility analyzers.

Language: Julia - Size: 193 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 3

continental/RelaxedLasso 📦

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Language: Python - Size: 796 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

minar09/awesome-deep-learning-techniques

A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.

Size: 9.77 KB - Last synced at: 22 days ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 2

gtesei/DeepExperiments

TensorFlow/Keras experiments on computer vision and natural language processing

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 10

oswaldoludwig/Eigenvalue-Decay-Regularizer-for-Keras

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

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 9 - Forks: 14

abbasmzs/Coursera-Deep-Learning-Specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

Language: Jupyter Notebook - Size: 66.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 3

jialincheoh/coursera-improving-deep-neural-networks

This is one of the modules titled "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera Deep Learning Specialization.

Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 3

svoit/Machine_Learning

Machine Learning - Coursera.org

Language: MATLAB - Size: 20.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 7

jhorzek/lessSEM

lessSEM estimates sparse structural equation models.

Language: R - Size: 14.6 MB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 7 - Forks: 1

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 6

Adesoji1/Food-Image-Classification

Food Image Classification using TensorFlow: A deep learning model to classify various food items using TensorFlow and CNNs.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 2

arjuntheprogrammer/TheSchoolOfAI

Projects for The School of AI

Language: Jupyter Notebook - Size: 444 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

wy1iu/Sphere-Uniformity

Implementation for <Learning with Hyperspherical Uniformity> in AISTATS'21.

Language: Python - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

iamirulofficial/machine_learning_coursera_by_Andrew_Ng

Machine learning coursera by Andrew Ng

Language: MATLAB - Size: 133 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 0

uuujf/TNAR

[CVPR 2019] Tangent-Normal Adversarial Regularization for Semi-supervised Learning

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 0

hkiang01/Applied-Machine-Learning

Applied Machine Learning

Language: Python - Size: 58.8 MB - Last synced at: 8 days ago - Pushed at: almost 9 years ago - Stars: 7 - Forks: 4

gofflab/scProject

Transfer Learning of Gene Expression Signatures in Python.

Language: Jupyter Notebook - Size: 372 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

itsrainingdata/ccdrAlgorithm

Structure learning for Bayesian networks using the CCDr algorithm.

Language: C++ - Size: 298 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 9

Vekteur/probabilistic-calibration-study

Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)

Language: Python - Size: 192 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

Nikeshbajaj/Regularization_for_Machine_Learning

Regularization for Machine Learning-RegML GUI

Language: Jupyter Notebook - Size: 772 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

yeachan-kr/pytorch-sigua

Pytorch implemetations of SIGUA

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 2

efthymisgeo/multimodal-masking

This repo contains source code for the MultiModal Masking (M^3) Interspeech 2021 paper.

Language: Python - Size: 1.91 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0

bhattbhavesh91/lasso-regression-python

This repository shows how Lasso Regression selects correlated predictors

Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: 7 days ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 7

wmkouw/ctrl-iwxval

Controlled importance-weighted cross-validation

Language: MATLAB - Size: 344 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 0

CyberZHG/keras-targeted-dropout 📦

Targeted dropout implemented in Keras

Language: Python - Size: 15.6 KB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 4

S-B-Iqbal/German-Credit-Data-Analysis

Some old code.

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 3

rfeinman/SK-regularization

Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)

Language: Python - Size: 106 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

Z7zuqer/DropBlock-Caffe

Implementation of DropBlock: A regularization method for convolutional networks in Caffe.

Language: C++ - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

s-chh/PatchSwap

Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers

Language: Python - Size: 12.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

pyladiesams/pyro-may2023

Meet Uber's Pyro - popular framework for probabilistic programming. Learn how to introduce regularization and prior assumptions into a model, at first for a simple use case of Bayesian Linear Regression and later in an introduction to deep generative models with Pyro.

Language: Jupyter Notebook - Size: 5.83 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 2

gorjanradevski/pruning_deep_nets

Layer-wise pruning of a neural network implemented in Tensorflow 1.x.

Language: Jupyter Notebook - Size: 269 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

makeyourownmaker/mixup

An R package inspired by 'mixup: Beyond Empirical Risk Minimization'

Language: R - Size: 22.5 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

colbyford/parEBEN

Parallel Implementations of the Empirical Bayesian Elastic Net Cross-Validation in R

Language: C - Size: 107 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

sandipanpaul21/Logistic-regression-in-python

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

RahulBhalley/deep-learning-with-swift-for-tensorflow-book

Official source code for "Deep Learning with Swift for TensorFlow" 📖

Language: Swift - Size: 716 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

shiming-chen/Writer-Identification-WLSR

Codes for the paper "Semi-Supervised Feature Learning for Improving Writer Identification" in Information Sciences, 2019

Language: MATLAB - Size: 3.08 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

aorabdel/Coursera-Machine-Learning Fork of dibgerge/ml-coursera-python-assignments

My Python solutions for the assignments in the machine learning class by andrew ng on coursera.

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 5

ycv005/Weather_forecast

Weather forecasting using machine learning and deep learning model.

Language: Jupyter Notebook - Size: 36.9 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

sbelharbi/structured-output-ae

Repository for the code of the paper "Deep Neural Networks Regularization for Structured Output Prediction"

Language: Python - Size: 4.21 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

sharnam19/Networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Language: Python - Size: 3.51 MB - Last synced at: 21 days ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

qihongl/MVPA_tutorial

MVPA tutorial - Rogers lab brain imaging unit

Language: Matlab - Size: 821 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 8

jrenstat/regnet

Network-Based Regularization for Generalized Linear Models

Language: R - Size: 5.9 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 4 - Forks: 4

dingo-actual/dropgrad

PyTorch Implementation of DropGrad

Language: Python - Size: 20.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

dpscience/DCONTINPALS

pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

Language: Fortran - Size: 4.42 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

jameschapman19/scikit-prox

A package for fitting regularized models from scikit-learn via proximal gradient descent

Language: Python - Size: 104 KB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

kamrulhasanrony/Deep-Learning-Specialization-Coursera-

Deep Learning Specialization is a online based course provided by Coursera. Here in this repository all the source code of assignment is provided.

Language: Jupyter Notebook - Size: 48.8 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3

jialincheoh/coursera-neural-networks-and-deep-learning

This is one of the modules titled "Neural Networks and Deep Learning" of Coursera Deep Learning Specialization by deeplearning.ai.

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

jaiisrani/Topology-Optimization-iSURP

This repository contains all the programs I will use for my iSURP on Topology Optimization.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

ChaitanyaC22/House-Price-Prediction-Project-for-a-US-based-housing-company

The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an effective regression model using regularization (i.e. advanced linear regression: Ridge and Lasso regression) in order to predict the actual values of prospective housing properties and decide whether to invest in them or not.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1