yoninazarathy / MathematicalEngineeringDeepLearningLinks
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
☆450Updated 11 months ago
Alternatives and similar repositories for MathematicalEngineeringDeepLearning
Users that are interested in MathematicalEngineeringDeepLearning are comparing it to the libraries listed below
Sorting:
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆220Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆259Updated last year
- Statistics and Machine Learning in Python☆199Updated 2 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆429Updated 10 months ago
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 4 years ago
- Automatically Generated Notebooks for Colab☆68Updated last year
- This introduces a suggestion of mathematical notation protocol for machine learning.☆474Updated 11 months ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆284Updated 2 years ago
- Probabilistic Machine Learning: Advanced Topics☆1,478Updated 3 months ago
- ML algorithms in depth☆245Updated 10 months ago
- This repository contains the supplementary material associated with my book: Essential Math for AI published by O'Reilly Media☆375Updated 2 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆200Updated last year
- A handbook for ML built on answers.☆495Updated 2 months ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆339Updated 4 years ago
- ☆83Updated 2 years ago
- Getting Started with PyTorch Lightning, Published by Packt☆160Updated last year
- Machine Learning Q and AI book☆604Updated 10 months ago
- Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras☆348Updated 2 years ago
- Bayesian statistics graduate course☆356Updated 9 months ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,263Updated 2 months ago
- A book containing step by step instructions to train deep learning models for a variety of tasks☆37Updated last year
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆823Updated last year
- code for deep learning courses☆1,134Updated 2 months ago
- Contains the public resources of Hands on GenAI book☆180Updated 6 months ago
- Hyperparameter Tuning with Python☆185Updated last year
- Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"☆1,132Updated 4 months ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆163Updated 4 months ago
- Programs☆116Updated 8 months ago
- a visual dictionary of Bayesian Networks and Causal Inference.☆84Updated 2 weeks ago