an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
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Oct 1, 2024 - Go
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lasso
Here are 316 public repositories matching this topic...
The Operator Splitting QP Solver
machine-learning control optimization svm solver lasso portfolio-optimization numerical-optimization quadratic-programming convex-optimization model-predictive-control
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Dec 10, 2024 - C
H2Oai GPU Edition
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Oct 24, 2024 - C++
Automatically sets the affinity of "audiodg.exe" to only one core on computer start to fix the crackling noises that can occur in VoiceMeeter.
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Jun 17, 2024 - Batchfile
Python implementation of elastic-net regularized generalized linear models
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Aug 17, 2023 - Python
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
lasso neural-networks convex-optimization meta-learning learning-to-learn nonconvex-optimization learning-to-optimize
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Jun 9, 2023 - C++
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
machine-learning tutorial random-forest cluster superlearner lasso xgboost pca decision-trees dlab-berkeley
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Mar 25, 2021 - CSS
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression
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Apr 9, 2019 - Python
Lasso/Elastic Net linear and generalized linear models
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Oct 6, 2024 - Julia
biglasso: Extending Lasso Model Fitting to Big Data in R
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Apr 21, 2024 - C++
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
image-reconstruction julia lasso mirt mri tomography sparse-coding inverse-problems optimization-algorithms k-space nufft sinogram
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Nov 18, 2024 - Julia
Functional models and algorithms for sparse signal processing
functional-programming lasso sparse-linear-systems convex-optimization sparse-bayesian-learning linear-operators compressive-sensing wavelets sparse-representations jax l1-regularization basis-pursuit
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Oct 17, 2023 - Jupyter Notebook
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
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Nov 14, 2018 - Python
This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).
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Apr 29, 2023 - Python
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
machine-learning neural-network algorithms linear-regression lasso pca expectation-maximization splines logistic-regression bayesian gradient-descent rkhs ridge-regression gaussian-processes cox-model hamiltonian-monte-carlo mixed-models penalized-regression maximum-likelihood-estimation zero-inflated
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Jan 28, 2021 - R
Matlab library for gradient descent algorithms: Version 1.0.1
machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning lasso classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem
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Jul 2, 2018 - MATLAB
L1-regularized least squares with PyTorch
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Feb 19, 2023 - Python
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