introdeeplearning / bookLinks
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
☆235Updated last month
Alternatives and similar repositories for book
Users that are interested in book are comparing it to the libraries listed below
Sorting:
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆461Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆127Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆267Updated 2 years ago
- Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch☆65Updated this week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆188Updated 2 years ago
- Machine Learning Q and AI book☆676Updated 2 months ago
- ☆87Updated 2 years ago
- ☆259Updated 2 months ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆402Updated 6 months ago
- Contains the public resources of Hands on GenAI book☆202Updated 9 months ago
- Learning Deep Representations of Data Distributions☆577Updated this week
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆544Updated 8 months ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆217Updated last year
- Ancillaries for Algorithms for Decision Making☆102Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated last year
- Page for the SML book☆55Updated 3 years ago
- Statistics and Machine Learning in Python☆199Updated 2 weeks ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated last month
- Tutorial for Harvard Medical School ML from Scratch Series: Transformer from Scratch. Demo the usage of transformer in various domains: M…☆45Updated 2 years ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆170Updated 7 months ago
- a visual dictionary of Bayesian Networks and Causal Inference.☆84Updated last month
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆89Updated 6 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Machine Learning with Symbolic Tensors☆347Updated 5 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆297Updated 3 years ago
- Book and material for the course "Time series analysis with Python" (STA-2003)☆162Updated 4 months ago
- ☆268Updated 4 months ago
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆91Updated 7 months ago