An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with l2-regularization

A curated list of projects in awesome lists tagged with l2-regularization .

https://github.com/arshtiwari2004/sahyog

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.

adam-optimizer apache-kafka apache-spark cnn-classification docker efficientnetb4 gan-models gcp-storage gcs gemini-api hyperledger-fabric keras-classification-models l2-regularization lstm-model numpy opencv tensorflow twilio vertex-ai yolov8-detection

Last synced: 13 May 2025

https://github.com/kinoute/elyane

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

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

Last synced: 13 May 2025

https://github.com/bhattbhavesh91/regularization-neural-networks

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

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

Last synced: 17 Apr 2025

https://github.com/kanishknavale/text-mining-with-tf-idf-and-cosine-similarity

A simple python repository for developing perceptron based text mining involving dataset linguistics preprocessing for text classification and extracting similar text for a given query.

cosine-similarity-scores information-retreival l2-regularization lemmatization linguistics machine-learning nltk optimization perceptron text-classification text-mining tf-idf tokenization torch-sparse-matrix

Last synced: 24 Feb 2025

https://github.com/ghazaleze/investigate_classifiers

The point is to investigate three types of classifiers (linear classifier with feature selection, linear classifier without feature selection, and a non-linear classifier) in a setting where precision and interpretability may matter.

feature-selection l2-regularization large-scale lasso-regression machine-learning random-forest-classifier support-vector-machine svm-classifier

Last synced: 23 Feb 2025

https://github.com/eonu/reg-lm

Experimentation of L1, L2 and ElasticNet regularized linear models (with GLMNet) for predicting the battery capacity of a mobile phone from its specifications.

elastic-net glmnet l1-regularization l2-regularization linear-models linear-regression lm machine-learning prediction r r-notebook regularization regularized-linear-regression

Last synced: 03 Apr 2025

https://github.com/mohammedsaqibms/regularization

This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.

deep-learning dropout-regularization gradient-descent l2-regularization model-training neural-network-architecture overfitting-prevention performance-optimization regularization-techniques

Last synced: 18 Mar 2025