Pinned Repositories
handcalcs
Python library for converting Python calculations into rendered latex.
hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
machine-learning--basics
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
Maryam.MGh
MaryamMGh
mchmm
Markov Chains and Hidden Markov Models in Python
Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
space-time-mixed-Markov-chain-model
A Mixed Mover–Stayer Model for Spatio-temporal Two-State Processes
stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
Trr
MaryamMGhraiee's Repositories
MaryamMGhraiee/handcalcs
Python library for converting Python calculations into rendered latex.
MaryamMGhraiee/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
MaryamMGhraiee/machine-learning--basics
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
MaryamMGhraiee/Maryam.MGh
MaryamMGhraiee/MaryamMGh
MaryamMGhraiee/mchmm
Markov Chains and Hidden Markov Models in Python
MaryamMGhraiee/Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
MaryamMGhraiee/space-time-mixed-Markov-chain-model
A Mixed Mover–Stayer Model for Spatio-temporal Two-State Processes
MaryamMGhraiee/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
MaryamMGhraiee/Trr