Atcold / NYU-DLSP21Links
NYU Deep Learning Spring 2021
☆1,629Updated 11 months ago
Alternatives and similar repositories for NYU-DLSP21
Users that are interested in NYU-DLSP21 are comparing it to the libraries listed below
Sorting:
- 🧠 A study guide to learn about Transformers☆1,605Updated 2 years ago
- ☆1,457Updated 2 years ago
- NYU Deep Learning Spring 2020☆6,773Updated 2 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,479Updated 4 months ago
- Pen and paper exercises in machine learning☆2,393Updated last year
- https://huyenchip.com/ml-interviews-book/☆3,853Updated 5 months ago
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,173Updated 2 years ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,232Updated 2 years ago
- PyTorch tutorials and best practices.☆1,693Updated 5 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆476Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆446Updated 3 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,314Updated 4 months ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆509Updated 3 years ago
- Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn Univ…☆997Updated 3 weeks ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆466Updated last year
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,230Updated last year
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆825Updated last year
- 100 exercises to learn JAX☆589Updated 3 years ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,162Updated 2 years ago
- Full Stack Deep Learning Online Course☆902Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆284Updated 4 years ago
- Source for https://fullstackdeeplearning.com☆1,251Updated 4 months ago
- Machine Learning Notebooks☆3,408Updated last year
- A walkthrough of transformer architecture code☆352Updated last year
- ☆345Updated 4 years ago
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,945Updated 5 months ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,151Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago