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 17 public repositories matching this topic...
L1-regularized least squares with PyTorch
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Feb 19, 2023 - Python
Yolov8-pruning based on constraint of BN layer gamma values.
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Dec 31, 2024 - 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
Sparse index replication engine: tracks the S&P 500, Nasdaq-100, Russell 2000 and Nifty 50 with a small basket of stocks (~10% of each index) using a custom ADMM solver for L1-regularized portfolio optimization. Built for direct indexing, tax-loss harvesting and low-cost benchmark tracking. Python, FastAPI, Next.js, Azure.
python azure nextjs lasso quant portfolio-optimization quantitative-finance admm convex-optimization l1-regularization sp500 machine-learning-finance fastapi nifty50 sparse-index-tracking direct-indexing tax-loss-harvesting index-replication nasdaq-100 russell-2000
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May 20, 2026 - 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
The module allows working with simple neural networks (Currently, the simplest model of a multilayer perceptron neural network with the backpropagation method and the Leaky ReLu activation function is used).
machine-learning library neural-networks l2-regularization l1-regularization perceptron-neural-networks leakyrelu
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Jun 27, 2025 - 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
A feed-forward neural network that learns to prune itself during training using differentiable gate parameters
machine-learning sparsity deep-learning pytorch cifar10 model-compression l1-regularization neural-network-pruning self-pruning
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Apr 24, 2026 - Python
Реализация модели многослойного перцептрона с двумя скрытыми слоями без использования специальных библиотек; реализация функций активации RELU, SIGMOID для внутренних слоев, регуляризации для весов L1, L2, оптимизаторов градиентного спуска VANILLA, ADAM
vanilla l2-regularization adam-optimizer multilayer-perceptron l1-regularization sigmoid-activation relu-activation
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Oct 14, 2023 - 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
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 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
🧠 Predict COVID-19 mortality rates using a Multilayer Perceptron model, built from CDC data, without high-level frameworks.
machine-learning storytelling keras dropout classification outliers student-project adam-optimizer random-forest-regressor tensorboard-visualization university-at-buffalo l1-regularization early-stopping binary-crossentropy fillna pycaret catboostregressor cdc-dataset
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Jul 14, 2026 - Python
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