Maximize Vector Vector Vector

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/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/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/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/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/manbeer1999/vector

manbeer1999/vector

Margin maximization, kernel trick, hyperparameter tuning

GitHub Repo https://github.com/zhihanyang2022/tmixfit

zhihanyang2022/tmixfit

Vectorized Expectation Maximization for Student-t mixture models in PyTorch.

GitHub Repo https://github.com/AishwaryaGandhi/Hardware-Generation-Tool-for-Matrix-Vector-Multiplier

AishwaryaGandhi/Hardware-Generation-Tool-for-Matrix-Vector-Multiplier

The project involved Register Transfer Level (RTL) Design, simulation, synthesis and verification of a configurable Artificial Neural Network in SystemVerilog and then creating a parameterizable HDL Generation tool in C++ to create an optimized 3-Layer Neural Network. Each Layer of this Network is individually configurable for Size and Parallelism and hence we can optimize the performance based on the available resources. The generator has an Optimization algorithm which decides the Parallelism for each layer based on Multiplier Budget allocated to maximize Performance.

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.