chrispiech / probabilityForComputerScientistsLinks
☆139Updated last year
Alternatives and similar repositories for probabilityForComputerScientists
Users that are interested in probabilityForComputerScientists are comparing it to the libraries listed below
Sorting:
- Sources for the book "Machine Learning in Production"☆138Updated 6 months ago
- Inside Deep Learning: The math, the algorithms, the models☆274Updated 2 years ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- ☆230Updated 4 months ago
- ML algorithms in depth☆272Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆408Updated 9 months ago
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo☆490Updated last month
- ☆273Updated 7 months ago
- A Literate Program about Data Structures and Object-Oriented Programming☆303Updated last year
- Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)☆525Updated 2 months ago
- Effective and Scalable Recommendation Systems☆61Updated last year
- ☆157Updated last year
- ☆77Updated last year
- Collection of my assignments and work in the class MATH51 at Stanford☆110Updated 11 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆243Updated last year
- Deep Learning for Computer Vision☆60Updated last year
- 📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.☆106Updated 4 months ago
- <Foundations of Computer Vision> Book☆432Updated last month
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆478Updated 11 months ago
- Notes on mathematical topics that pertain to machine learning☆113Updated 4 years ago
- An educational machine learning library.☆422Updated 7 months ago
- ☆211Updated 3 years ago
- Notes from the Latent Space paper club. Follow along or start your own!☆243Updated last year
- Official Github for Wharton STAT 4830☆55Updated last week
- Probability - The Science of Uncertainty and Data☆123Updated 7 years ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆176Updated 10 months ago
- Deep Learning Fundamentals -- Code material and exercises☆400Updated last year
- Slides, notes, and materials for the workshop☆339Updated last year
- My own repository containing the codes I wrote to practice CUDA programming.☆65Updated 2 years ago