tonybruess / MATH51Links
Collection of my assignments and work in the class MATH51 at Stanford
☆106Updated 10 years ago
Alternatives and similar repositories for MATH51
Users that are interested in MATH51 are comparing it to the libraries listed below
Sorting:
- ☆204Updated 3 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆251Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- Repository of my solutions to the problems of "Learning from Data"☆277Updated 5 years ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,193Updated 2 months ago
- ☆269Updated 5 months ago
- CS229 Solution (summer 2019, 2020).☆18Updated last year
- ML algorithms in depth☆270Updated last year
- Self-study on Larry Wasserman's "All of Statistics"☆1,186Updated 2 years ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆126Updated 2 years ago
- ☆136Updated last year
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆28Updated 5 years ago
- All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford☆19Updated 3 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆56Updated 5 years ago
- Natural Language Processing Courses with Resources☆40Updated 2 months ago
- ☆189Updated 7 years ago
- Machine learning course materials.☆577Updated 2 years ago
- Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)☆520Updated 3 weeks ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆206Updated 2 years ago
- ☆66Updated 2 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆83Updated 6 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆299Updated 3 years ago
- Collection of important articles to be treated as a textbook☆832Updated 3 months ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆526Updated 3 years ago
- My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867☆342Updated last year
- ☆558Updated 3 weeks ago
- Solutions to Linear Algebra Done Right, by Sheldon Axler.☆375Updated 6 months ago
- Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearni…☆170Updated 4 years ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 7 months ago
- Landmark Papers in Machine Learning☆685Updated 3 months ago