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Dec 8, 2022 - Python
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regularization-methods
Here are 14 public repositories matching this topic...
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
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May 26, 2022 - Python
Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".
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Jun 12, 2023 - Python
Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"
mutual-information regularization-methods out-of-domain-detection zero-shot-classification few-shot-text-classification
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Apr 13, 2022 - Python
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
python python3 levenberg-marquardt regularization bayesian-inference prior-distribution nonlinear-regression nonlinear-models regularized-regression regularization-methods regularization-parameters
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Jun 23, 2020 - Python
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
deep-neural-networks deep-learning pytorch deep-learning-algorithms regularization generalization overfitting wmm regularization-methods pytorch-implementation weight-reinitialization weight-shuffling weight-matrix
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Jun 22, 2019 - Python
Machine Learning Projects
config python machine-learning neural-network mean neural-networks supervised-learning logistic-regression feedforward-neural-network regularization regression-models normalization supervised-machine-learning regression-algorithms k-means-implementation-in-python k-means-clustering regularization-methods github-config backpropagation-neural-network
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Feb 22, 2022 - Python
Implementation of optimization and regularization algorithms in deep neural networks from scratch
deep-neural-networks deep-learning optimization regularization gradient-descent cifar optimization-algorithms cifar10 adam l2-regularization adagrad rmsprop cifar-10 l1-regularization regularization-methods
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Nov 23, 2022 - Python
Stable-Baselines Implementation of MixReg regularization technique for PPO2
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Aug 19, 2021 - Python
Preprocessed the USPS dataset, implemented and compared different network architectures and optimization techniques, applied regularization techniques such as ensembling and dropout, performed adversarial training to evaluate network robustness, and evaluated network performance using metrics such as accuracy, precision, and recall.
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Apr 3, 2023 - Python
This repository contains a Python implementation of linear regression, logistic regression, and ridge regression algorithms. These algorithms are commonly used in machine learning and statistical modeling for various tasks such as predicting numerical values, classifying data into categories, and handling multicollinearity in regression models.
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Jun 12, 2023 - Python
Regularized maximum likelihood estimation for discrete choice models on the LPMC dataset
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Aug 27, 2021 - Python
the implementation of a multilayer perceptron
machine-learning neural-network dropout feedforward-neural-network gradient-descent backpropagation regularization-methods optuna
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Nov 4, 2023 - Python
A school bootcamp for hands on learning of Machine Learning
machine-learning classification gradient-descent regression-models evaluation-metrics feature-scaling regularization-methods
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Sep 17, 2023 - Python
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