krishnonwork / mathematical-methods-in-deep-learning-ipythonLinks
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
☆215Updated last year
Alternatives and similar repositories for mathematical-methods-in-deep-learning-ipython
Users that are interested in mathematical-methods-in-deep-learning-ipython are comparing it to the libraries listed below
Sorting:
- Inside Deep Learning: The math, the algorithms, the models☆266Updated 2 years ago
- ☆151Updated last year
- Code included in the book, PyTorch Pocket Reference☆152Updated 4 years ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆166Updated 6 months ago
- Mastering PyTorch, published by Packt☆310Updated last month
- Interpretable ML with Python, 2E - published by Packt☆102Updated last month
- This repo holds material for the Udemy course "PyTorch Ultimate"☆163Updated 3 months ago
- Learning Deep Learning☆318Updated 10 months ago
- Learn Generative AI with PyTorch (Manning Publications, 2024)☆124Updated 4 months ago
- Getting Started with PyTorch Lightning, Published by Packt☆162Updated last month
- Modern Computer Vision with PyTorch, 2E, Published by Packt☆253Updated last month
- Transformers 3rd Edition☆450Updated last month
- ☆138Updated last year
- Code for the new Manning book on machine learning on tabular datasets☆53Updated 8 months ago
- ☆140Updated last month
- Building Statistical Models in Python, Published by Packt☆33Updated last month
- Code Repository for The Kaggle Workbook, Published by Packt☆132Updated last month
- Machine Learning Engineering with Python☆185Updated last month
- Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt☆208Updated last month
- ☆245Updated last month
- Code that accompanies the book "Linear Algebra for Data Science"☆371Updated last year
- Python Machine Learning By Example Third Edition, published by Packt☆206Updated last month
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆518Updated 3 years ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆291Updated 4 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆212Updated last month
- Mastering NLP from Foundations to LLMs, Published by Packt☆112Updated last week
- Effective and Scalable Recommendation Systems☆59Updated last year
- Generative AI with Python and PyTorch , Second Edition - Published by Packt☆108Updated last month
- Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"☆1,186Updated 7 months ago