dair-ai / ML-Papers-ExplainedLinks
Explanation to key concepts in ML
☆8,259Updated 6 months ago
Alternatives and similar repositories for ML-Papers-Explained
Users that are interested in ML-Papers-Explained are comparing it to the libraries listed below
Sorting:
- 🔥Highlighting the top ML papers every week.☆12,197Updated 6 months ago
- Machine Learning Notebooks☆3,430Updated last year
- 🧠 A study guide to learn about Transformers☆1,626Updated 2 years ago
- 🎓 Sharing machine learning course / lecture notes.☆6,378Updated last year
- 📺 Discover the latest machine learning / AI courses on YouTube.☆17,081Updated last year
- Understanding Deep Learning - Simon J.D. Prince☆8,899Updated 2 weeks ago
- My small cheatsheets for data science, ML, computer science and more.☆1,656Updated 2 years ago
- This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)☆6,356Updated last year
- A playbook for systematically maximizing the performance of deep learning models.☆29,687Updated last year
- Pen and paper exercises in machine learning☆2,577Updated last year
- 🧮 A collection of resources to learn mathematics for machine learning☆5,661Updated 2 years ago
- 🏅 Collection of Kaggle Solutions and Ideas 🏅☆6,256Updated 2 weeks ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,311Updated last month
- A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth articl…☆3,184Updated 2 years ago
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,453Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,169Updated 3 years ago
- This repository contains demos I made with the Transformers library by HuggingFace.☆11,469Updated last week
- https://huyenchip.com/ml-interviews-book/☆4,455Updated 9 months ago
- Machine Learning Engineering Open Book☆16,374Updated last week
- Jupyter notebooks for the Natural Language Processing with Transformers book☆4,683Updated last year
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,923Updated 2 weeks ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,280Updated last year
- A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)☆10,138Updated last year
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆4,211Updated 2 months ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,271Updated 3 years ago
- Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.☆7,598Updated last year
- ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Libr…☆3,315Updated last year
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,878Updated 2 years ago
- NYU Deep Learning Spring 2021☆1,652Updated 2 months ago
- Seamlessly integrate LLMs into scikit-learn.☆3,492Updated 2 weeks ago