mshisheh's repositories
my_code-projects
This will be repository of my codes devops
Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
PIXEL
Physics-Informed Cell Representations
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
numpy-ml
Machine learning, in numpy
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
Time-Series-Analysis-on-AWS
Time series analysis on AWS, published by Packt
Learning-MongoDB-2835008
Learning MongoDB
Mastering-PyTorch
Mastering PyTorch, published by Packt
rethinking
Statistical Rethinking course and book package
Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Bayesian-Analysis-with-Python
Bayesian Analysis with Python (Second Edition)
machine-learning-probabilistic-murphy
Notebooks for "Probabilistic Machine Learning" book
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python-deep-learning-important
python deep learning notebooks
Applied-Deep-Learning
Applied Deep Learning
Convolutional-Neural-Networks-Ng
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Bayesian-statistics-books
PyMC3 educational resources
gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
sciann
Deep learning for Engineers - Physics Informed Deep Learning
The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
practical-statistics-for-data-scientists
Code repository for O'Reilly book
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)