Pinned Repositories
IoT-and-Digital-Twins
This repository is dedicated to our IoT and Digital Twins research. Here, we collaborate on developing innovative solutions and publish scientific findings to advance the field.
A_tool_to_convert_fasta_to_fastq
Upload your fasta file and receive its fastq format.
A_tool_to_convert_ipynb_to_HTML_in_Colab
Using this tool you can convert your work in Colab to HTML and submit it as a report.
Advance_Mechatronics
MECH 6741: Mechatronics course (Master's level)
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Hyperopt_FashionMNIST
# Bayesian Optimization In this example a bayesian framework is defined to tune hyperparameter of a CNN using hyperopt library developed https://github.com/hyperopt Bayesian optimization is a seuential model-based approach to solving problems. In particular, we prescribe a prior belief over the possible objective functions and then sequentially refine this model as data are observed via our updated beliefs-given data-on the likely ojective function we are optimizing. https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf This blog summarises bayesian optimization very thoroughly. https://medium.com/vantageai/bringing-back-the-time-spent-on-hyperparameter-tuning-with-bayesian-optimisation-2e21a3198afb The CNN is used to model fashion MNIST dataset.
IntegratedREFINED
In this repository the code that ensemble different REFINED approaches is provided.
Mostafa-M-Rezaee
About me
REFINED
This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)
Time_Series_Analysis
Models: AR - MA - ARMA - ARIMA - SARIMA - LSTM
Mostafa-M-Rezaee's Repositories
Mostafa-M-Rezaee/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Mostafa-M-Rezaee/Hyperopt_FashionMNIST
# Bayesian Optimization In this example a bayesian framework is defined to tune hyperparameter of a CNN using hyperopt library developed https://github.com/hyperopt Bayesian optimization is a seuential model-based approach to solving problems. In particular, we prescribe a prior belief over the possible objective functions and then sequentially refine this model as data are observed via our updated beliefs-given data-on the likely ojective function we are optimizing. https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf This blog summarises bayesian optimization very thoroughly. https://medium.com/vantageai/bringing-back-the-time-spent-on-hyperparameter-tuning-with-bayesian-optimisation-2e21a3198afb The CNN is used to model fashion MNIST dataset.
Mostafa-M-Rezaee/REFINED
This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)
Mostafa-M-Rezaee/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
Mostafa-M-Rezaee/jupyter
Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks
Mostafa-M-Rezaee/matplotlib
matplotlib: plotting with Python
Mostafa-M-Rezaee/ml_tutorial
This repository explains machine learning concepts