Projects in Awesome Lists tagged with l2-regularization
A curated list of projects in awesome lists tagged with l2-regularization .
https://github.com/unixjunkie/linwrap
Wrapper on top of liblinear-tools
classification l2-regularization liblinear linear-svm linear-svr logistic-regression lrl2 machine-learning ocaml-program
Last synced: 14 Apr 2025
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