mshisheh's repositories

Applied-Deep-Learning

Applied Deep Learning

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Bayesian-Analysis-with-Python

Bayesian Analysis with Python (Second Edition)

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Bayesian-statistics-books

PyMC3 educational resources

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Convolutional-Neural-Networks-Ng

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

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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.

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gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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Hands-On-Data-Analysis-with-Pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

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Hands-on-Exploratory-Data-Analysis-with-Python

Hands-on Exploratory Data Analysis with Python, published by Packt

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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.

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Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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Learning-MongoDB-2835008

Learning MongoDB

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machine-learning-probabilistic-murphy

Notebooks for "Probabilistic Machine Learning" book

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Mastering-PyTorch

Mastering PyTorch, published by Packt

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my_code-projects

This will be repository of my codes devops

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numpy-ml

Machine learning, in numpy

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PIXEL

Physics-Informed Cell Representations

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practical-statistics-for-data-scientists

Code repository for O'Reilly book

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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 ;)

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python-deep-learning-important

python deep learning notebooks

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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rethinking

Statistical Rethinking course and book package

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sciann

Deep learning for Engineers - Physics Informed Deep Learning

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The-Deep-Learning-with-Keras-Workshop

An Interactive Approach to Understanding Deep Learning with Keras

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Time-Series-Analysis-on-AWS

Time series analysis on AWS, published by Packt

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