Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
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Jun 18, 2020 - Python
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regularization-hyperparameters
Here are 13 public repositories matching this topic...
PyInvGeo: Regularized Inversion Techniques
seismic deconvolution geophysical-inversions iterative-algorithms regularization-methods regularization-hyperparameters linear-inversion multiple-suppression
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May 18, 2025 - Jupyter Notebook
This is Collection of Regularization Deep learning techniques with code and paper
dropout machinelearning regularization deeplearning regularization-methods regularization-hyperparameters dropout-probability alphadropout dropout-keras dropout-pytorch l1-normalization l2normalization
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Jun 1, 2020
This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)
python neural-network cross-validation lasso xgboost classification fall-detection gridsearchcv decisiontreeclassifier gridsearch sklearn-tree regularization-hyperparameters regularization-to-avoid-overfitting multipleline
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Jul 16, 2025
This repo contains the experimentation of the most important deep learning techniques related to Regularization, Optimization and HPO while using LeNet CNN architecture as the playground.
mnist hyperparameter-optimization convolutional-neural-networks mnist-handwriting-recognition cnn-classification lenet-5 regularization-hyperparameters
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Jun 6, 2023 - Python
Predicting Forest Fire in Algeria
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May 14, 2025 - Jupyter Notebook
Deep Learning project about the design and training of a model for Image Classification
numpy scikit-learn pandas deeplearning transfer-learning keras-tensorflow fine-tuning cnn-classification bias-variance-tradeoff regularization-hyperparameters dropout-layers
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Nov 23, 2023 - Jupyter Notebook
This is a classification model implementation using Random Forest and Logistic Regression in Python and Spark. Originally implemented via AWS EMR Clusters.
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Sep 2, 2023 - Jupyter Notebook
Machine Learning End-to-End (Linear Regression) model project on MS Application Prediction
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Mar 23, 2022 - CSS
An effective way to avoid (or at least to reduce) overfitt
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Jul 18, 2024 - Jupyter Notebook
Salary Prediction Classification:
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Apr 3, 2023 - Jupyter Notebook
This is an expansion of dsb318-group4 (see repo: dsb318-group4), in which we collaborated to predict high school graduation rates in CA from other trends (e.g., poverty rate, availability of e-cigarettes). Collaboration between Eli and Emily.
regression regularization regression-models graduation-rates regularization-methods regularization-hyperparameters dropout-rates
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Nov 9, 2024 - Jupyter Notebook
An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.
svm backpropagation-learning-algorithm regression-models normalization classification-algorithm anomaly-detection-algorithm regularization-hyperparameters
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Jul 3, 2021 - MATLAB
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