mlip-cmu / s2024Links
☆25Updated last year
Alternatives and similar repositories for s2024
Users that are interested in s2024 are comparing it to the libraries listed below
Sorting:
- CS341 for Spring 2024☆11Updated last year
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆408Updated 9 months ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆240Updated 4 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Descriptions and python solutions to all leetcode problems in a single 1985-page pdf☆54Updated 5 years ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆274Updated 2 years ago
- ☆91Updated 2 years ago
- Papers on Search, Recommendations, and Ads (搜广推)☆29Updated 6 months ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆241Updated last year
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆55Updated 5 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆505Updated 2 months ago
- ML algorithms in depth☆272Updated last year
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆93Updated 10 months ago
- Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Com…☆54Updated 5 years ago
- ☆412Updated 9 months ago
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."☆204Updated 2 weeks ago
- ☆63Updated last year
- Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne☆169Updated 8 months ago
- Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.☆51Updated 2 years ago
- Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …☆36Updated 5 months ago
- A practical guide to diffusion models, implemented from scratch.☆242Updated last month
- Machine Learning Q and AI book☆704Updated last month
- Contains the public resources of Hands on GenAI book☆229Updated last year
- A walkthrough of transformer architecture code☆370Updated last year
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆84Updated 7 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 3 years ago
- Learn Generative AI with PyTorch (Manning Publications, 2024)☆135Updated 7 months ago
- Effective and Scalable Recommendation Systems☆61Updated last year
- Code included in the book, PyTorch Pocket Reference☆155Updated 4 years ago