Mostafa M. Rezaee's Projects
Upload your fasta file and receive its fastq format.
Using this tool you can convert your work in Colab to HTML and submit it as a report.
MECH 6741: Mechatronics course (Master's level)
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
TensorFlow code and pre-trained models for BERT
BERT-related papers
Best Practices, code samples, and documentation for Computer Vision.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
FORTRAN Tutorial
Get familiar with various techniques to handle the imbalanced class.
# 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.
Image Processing
In this repository the code that ensemble different REFINED approaches is provided.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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
A curated collection of interesting applications, repos, and tutorials using large language models (LLM) like GPT-3
Becoming better at data science every day
A Linux Shell Handbook for Bioinformatician
llama3 implementation one matrix multiplication at a time
matplotlib: plotting with Python
This repository explains machine learning concepts
About me
Examples of Message Passing Interface in Python using MPI4PY
✍️ A carefully curated list of NLP paper summaries
NLTK (Natural Language Toolkit )