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:
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆396Updated 3 months ago
- CS341 for Spring 2024☆10Updated last year
- A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible an…☆48Updated 7 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.☆51Updated last year
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- Descriptions and python solutions to all leetcode problems in a single 1985-page pdf☆44Updated 4 years ago
- Effective and Scalable Recommendation Systems☆58Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆259Updated last year
- ☆83Updated 2 years ago
- A list of curated ML products from Github☆27Updated 3 months ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆51Updated 5 years ago
- NYU Artificial Intelligence Spring 2024☆59Updated 9 months ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆202Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- Deep Learning for Computer Vision☆58Updated last year
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆84Updated 4 months ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆222Updated last year
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆476Updated 2 months ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆324Updated 2 years ago
- Gathered multiple pdfs regarding interview questions on machine learning and deep learning☆67Updated 5 years ago
- NYU Deep Learning Fall 2022☆61Updated 10 months ago
- ☆58Updated 8 months ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆53Updated last week
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."☆179Updated this week
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)☆299Updated 2 years ago
- Modern Graph Theory Algorithms with Python, published by Packt☆34Updated 3 months ago
- ☆126Updated 10 months ago
- ML algorithms in depth☆247Updated 10 months ago