Showing results for Maximize Vector Vector
GitHub Repo
https://github.com/manbeer1999/vector
manbeer1999/vector
Margin maximization, kernel trick, hyperparameter tuning
GitHub Repo
https://github.com/AlexiaJM/MaximumMarginGANs
AlexiaJM/MaximumMarginGANs
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
GitHub Repo
https://github.com/araomv/i-vector-tf
araomv/i-vector-tf
This repo to support the publication: Whisper to neutral mapping using cosine similarity maximization in i-vector space for speaker verification
GitHub Repo
https://github.com/zhihanyang2022/tmixfit
zhihanyang2022/tmixfit
Vectorized Expectation Maximization for Student-t mixture models in PyTorch.
GitHub Repo
https://github.com/sajidali-ds/Support_Vector_Machine
sajidali-ds/Support_Vector_Machine
A from-scratch implementation of Support Vector Machine (SVM) covering key concepts like margin maximization, kernel tricks, and model evaluation.
GitHub Repo
https://github.com/vijaydwivedi75/Beyond_word2vec
vijaydwivedi75/Beyond_word2vec
Deep learning architectures to embed multi-word units into a vector space maximizing similarity between units of different sizes.
GitHub Repo
https://github.com/je-suis-tm/machine-learning
je-suis-tm/machine-learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
GitHub Repo
https://github.com/gbmrls/svm-bayesian-optimization
gbmrls/svm-bayesian-optimization
Image classification example using Bayesian Optimization on the Support Vector Machine's hyperparameters, with the model's AUC as the metric to maximize.
GitHub Repo
https://github.com/antonioferris/VectorProblem
antonioferris/VectorProblem
This repo contains code that tries to solve an optimization involving a hidden vector and maximizing dot products!
GitHub Repo
https://github.com/gargiekulkarni/AI-ML-Support-Vector-Machine-SVM