Showing results for Maximize Vector
GitHub Repo
https://github.com/victordlp8/mcBase64x32
victordlp8/mcBase64x32
A high-performance Base64x32 implementation specialized for maximizing data storage in Minecraft books using numpy vectorized operations.
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/gargiekulkarni/AI-ML-Support-Vector-Machine-SVM
gargiekulkarni/AI-ML-Support-Vector-Machine-SVM
Covers margin maximization, kernel tricks, hyperparameter tuning, and performance evaluation for classification and regression tasks
GitHub Repo
https://github.com/hitendras510/OpenCloud-SRE
hitendras510/OpenCloud-SRE
An autonomous SRE architecture that resolves enterprise cloud outages using PyTorch simulation, O(1) vector memory, and GRPO-trained LLMs to minimize compute and maximize safety.
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/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/zhihanyang2022/tmixfit
zhihanyang2022/tmixfit
Vectorized Expectation Maximization for Student-t mixture models in PyTorch.
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/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/manbeer1999/vector