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the-lans / NeuroRepository

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

qt framework qtcreator mse qt5 dropout neural-networks trade std backpropagation csv-export neural-nets l2-regularization backpropagation-algorithm neuronal-network backprop neuralnetworks backpropagation-neural-network crossentropy

Updated Aug 18, 2020
C++

SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

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Short description for quick search

tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay

Updated Jan 31, 2019
Python

sandipanpaul21 / Logistic-regression-in-python

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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

logistic-regression regularization information-value weight-of-evidence ridge-regression l2-regularization lasso-regression multiclass-logistic-regression l1-regularization elastic-net-regression logistic-regression-assumptions

Updated Dec 22, 2021
Jupyter Notebook

mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML

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The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

feature-selection rfc feature-extraction confusion-matrix roc-curve binary-classification l2-regularization network-intrusion-detection multiclass-classification feature-importance l1-regularization rfe pearson-correlation-coefficient fclassif select-percentile extrat-tree-classifier

Updated Aug 10, 2019
Jupyter Notebook

dedupeio / rlr

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Regularized Logistic Regression

python logistic-regression l2-regularization

Updated Dec 20, 2021
Python

alejandrods / Analysis-of-the-robustness-of-NMF-algorithms

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Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm

python nlp data-science machine-learning deep-learning matrix-factorization image-classification noise factorization nmf l2-regularization robustness non-negative-matrix-factorization l1-norm l2-norm l21-norm

Updated Jun 7, 2021
Jupyter Notebook

jamesneve / go-neural-network

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Modifiable neural network

golang neural-network backpropagation l2-regularization stochastic-gradient-descent

Updated Jun 5, 2017
Go

UnixJunkie / linwrap

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Wrapper on top of liblinear-tools

machine-learning classification logistic-regression l2-regularization liblinear linear-svm ocaml-program lrl2 linear-svr

Updated Apr 22, 2024
OCaml

ArshTiwari2004 / Sahyog

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Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

Updated May 10, 2025
JavaScript

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

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Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

tensorflow dropout batch-normalization momentum gradient-descent hyperparameter-tuning l2-regularization rmsprop stochastic-gradient-descent adam-optimizer mini-batch-gradient-descent gradient-check

Updated Jan 11, 2019
Jupyter Notebook

indranil143 / Mental-Health-Sentiment-Analysis-using-Deep-Learning

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A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text, aiming to provide early insights and support. ⚕️❤️

python nlp machine-learning deep-learning sentiment-analysis eda pytorch spacy nltk logistic-regression ngrams mental-health l2-regularization emotion-detection roberta mental-health-awareness mentalsupport transformermodel

Updated May 21, 2025
Jupyter Notebook

mrshub / Wat_Lip_Removal_L2

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Water and lipid signal removal in MRSI by L2 regularization (submitted by Liangjie Lin)

mrs l2-regularization magnetic-resonance-spectroscopy mrshub

Updated Jul 10, 2020
MATLAB

kinoute / Elyane

Sponsor

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An OOP Deep Neural Network using a similar syntax as Keras with many hyper-parameters, optimizers and activation functions available.

python deep-learning neural-network oop dropout momentum l2-regularization rmsprop softmax adam-optimizer

Updated Jul 8, 2019
Python

SapanaChaudhary / PyTorch-IL-functions

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PyTorch implementation of important functions for WAIL and GMMIL

pytorch imitation-learning l2-regularization inverse-reinforcement-learning gaussian-kernel entropy-regularizer deep-imitation-learning

Updated Oct 28, 2021
Python

bhattbhavesh91 / regularization-neural-networks

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Simple Demo to show how L2 Regularization avoids overfitting in Deep Learning/Neural Networks

deep-learning keras neural-networks regularization keras-neural-networks l2-regularization keras-tensorflow overfitting

Updated May 28, 2021
Jupyter Notebook

shouryasimha / Ships-In-Satellite-images

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Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organization…

visualization training dropout vgg16 imagery keras-neural-networks l2-regularization ships resnet-50 satellite-images