SesshomaruSama's repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
nn-zero-to-hero
Neural Networks: Zero to Hero
Raschka-Machine-Learning-with-PyTorch-and-Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
python_bootcamp
All files included for "Python Projects for Beginners" book.
deep-representation-learning-book
Learning Deep Representations of Data Distributions
DSML_Programs
Programs
effectivepython
Effective Python: Third Edition — Source Code and Errata for the Book
Geron-handson-ml-2025
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
grokking_algorithms
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
handson-ml3
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.
LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
mathematics-of-machine-learning-book
The official GitHub repository for the Mathematics of Machine Learning book!
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Python-for-Data-Analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Raschka-NumPy
Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
REAL_ANALYSIS_2025
2025 Fall Rutgers 311H Intro Real Analysis
Scientific-Computing-with-Python-Second-Edition
Scientific Computing with Python - Second Edition, published by Packt
scientific-python-lectures
Tutorial material on the scientific Python ecosystem
Scientific_Comp_for_Chemists
Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.
Simon-Prince-UDL
Understanding Deep Learning - Simon J.D. Prince
Tamassia-Goldwasser-Goodrich
The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser
theLMbook
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
ThinkElementsOfDataScience
An introduction to data science in Python, for people with no programming experience.
ThinkPython
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
ThinkStats
Notebooks for the third edition of Think Stats