daturkel / learning-papers
Landmark Papers in Machine Learning
☆530Updated last month
Related projects: ⓘ
- Collection of important articles to be treated as a textbook☆555Updated 5 months ago
- Pen and paper exercises in machine learning☆1,929Updated 3 months ago
- ☆109Updated last year
- 🧠 A study guide to learn about Transformers☆1,523Updated last year
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆1,958Updated 3 months ago
- https://huyenchip.com/ml-interviews-book/☆3,373Updated 3 months ago
- ☆300Updated 2 years ago
- Language model alignment-focused deep learning curriculum☆1,215Updated last month
- Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer☆908Updated 9 months ago
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,060Updated 6 months ago
- NYU Deep Learning Spring 2021☆1,562Updated last week
- Graph Machine Learning course, Xavier Bresson, 2023☆570Updated 3 weeks ago
- Probabilistic Machine Learning: Advanced Topics☆1,389Updated 2 months ago
- Deep Learning Fundamentals -- Code material and exercises☆333Updated 6 months ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆453Updated 2 months ago
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022☆338Updated last year
- Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world …☆595Updated 7 months ago
- ☆93Updated 3 weeks ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,103Updated last year
- ☆1,395Updated 2 years ago
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆2,160Updated 2 months ago
- Compilation of high-profile real-world examples of failed machine learning projects☆708Updated 3 months ago
- Host repository for the "Reproducible Deep Learning" PhD course☆402Updated 2 years ago
- 100 exercises to learn JAX☆562Updated 2 years ago
- Software Architecture for ML engineers☆382Updated 2 years ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆958Updated last year
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆781Updated last month
- A collection of stand-alone Python machine learning recipes☆657Updated 3 years ago
- This repo contains annotated research papers that I found really good and useful☆2,668Updated last month
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆161Updated 2 years ago