Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
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May 13, 2019 - Python
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l1-regularization
Here are 12 public repositories matching this topic...
L1-regularized least squares with PyTorch
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Feb 19, 2023 - Python
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
python data-science machine-learning image-reconstruction pytorch matplotlib optimization-methods fista denoising-images skimage proximal-policy-optimization total-variation l1-regularization total-variational-denoising proximal-gradient-descent ista
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Sep 25, 2022 - Python
Overparameterization and overfitting are common concerns when designing and training deep neural networks. Network pruning is an effective strategy used to reduce or limit the network complexity, but often suffers from time and computational intensive procedures to identify the most important connections and best performing hyperparameters. We s…
machine-learning sparsity ai tensorflow keras python3 image-classification automl l1-regularization network-compression unstructured-weight-pruning multiobjective-learning soft-pruning stochastic-multi-gradient dichotomic-serach dense-layers
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Sep 1, 2020 - Python
High Dimensional Portfolio Selection with Cardinality Constraints
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Sep 27, 2022 - Python
Yolov8-pruning based on constraint of BN layer gamma values.
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Dec 31, 2024 - Python
Regression algorithm implementaion from scratch with python (OLS, LASSO, Ridge, robust regression)
python regression regularization maximum-likelihood-estimation lasso-regression quantile-regression robust-regresssion l1-regularization ordinary-least-squares l2regularization
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Dec 23, 2024 - 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
Mathematical machine learning algorithm implementations
machine-learning svm generative-model neural-networks lda l2-regularization l1-regularization kernel-prediction
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Sep 17, 2021 - Python
This is a mid-term project of Optimization Methods, a course of Institute of Data Science, National Cheng Kung University. This project aimed to construct the linear regression with L1 regularization and the logistic regression with L1 regularization.
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Jun 20, 2021 - Python
The project encompasses the statistical analysis of a high-dimensional data using different classification, feature selection, clustering and dimension reduction techniques.
logistic-regression standardization tsne kmeans-clustering normalization l1-regularization elastic-net-regression
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Nov 1, 2021 - Python
This repository contains the code for the blog post on Understanding L1 and L2 regularization in machine learning. For further details, please refer to this post.
python cnn hyperparameter-optimization regularization penalty hyperparameter-tuning loss-functions l2-regularization l1-regularization penalization
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Jul 13, 2023 - Python
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