ilmoi / MML-BookLinks
Code / solutions for Mathematics for Machine Learning (MML Book)
☆1,198Updated 3 months ago
Alternatives and similar repositories for MML-Book
Users that are interested in MML-Book are comparing it to the libraries listed below
Sorting:
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- CS229 Solution (summer 2019, 2020).☆17Updated 2 years ago
- NYU Deep Learning Spring 2021☆1,649Updated last month
- ☆208Updated 3 years ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆864Updated 4 months ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆534Updated 3 years ago
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆130Updated 4 years ago
- ☆68Updated 2 years ago
- ☆827Updated 8 months ago
- Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy☆246Updated 5 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆262Updated 4 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 4 years ago
- Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer☆1,315Updated 2 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆108Updated 10 years ago
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆433Updated 8 months ago
- Landmark Papers in Machine Learning☆700Updated 4 months ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,197Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆907Updated 4 years ago
- https://huyenchip.com/ml-interviews-book/☆4,434Updated 9 months ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆295Updated 3 months ago
- Collection of important articles to be treated as a textbook☆841Updated 4 months ago
- My Own Solution Manual of PRML☆1,003Updated 4 years ago
- Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearni…☆170Updated 4 years ago
- Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilit…☆119Updated 5 years ago
- Exercises and supplementary material for the deep learning course 02456 using PyTorch.☆336Updated last year
- Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…☆251Updated 3 years ago
- Course notes☆737Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆489Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆212Updated last year
- My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition☆489Updated 3 years ago