eugeneyan / ml-surveys
π Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
β2,851Updated 2 years ago
Alternatives and similar repositories for ml-surveys
Users that are interested in ml-surveys are comparing it to the libraries listed below
Sorting:
- This repo contains annotated research papers that I found really good and usefulβ2,738Updated 2 months ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.β2,544Updated 4 years ago
- PyTorch tutorials and best practices.β1,680Updated last month
- π Papers & tech blogs by companies sharing their work on data science & machine learning in production.β27,955Updated 10 months ago
- Machine Learning Notebooksβ3,342Updated last year
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,156Updated 2 years ago
- βοΈ A carefully curated list of NLP paper summariesβ1,481Updated 3 years ago
- https://huyenchip.com/ml-interviews-book/β3,706Updated last month
- Learn how to design, develop, deploy and iterate on production-grade ML applications.β3,106Updated 9 months ago
- Full Stack Deep Learning Online Courseβ898Updated 3 years ago
- A comprehensive reference for all topics related to Natural Language Processingβ2,024Updated 7 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and bβ¦β1,321Updated 4 months ago
- π§ A study guide to learn about Transformersβ1,589Updated last year
- Interactive Tools for Machine Learning, Deep Learning and Mathβ2,744Updated 9 months ago
- A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).β2,022Updated last year
- A curated list of awesome MLOps toolsβ4,506Updated 5 months ago
- β1,433Updated 2 years ago
- NYU Deep Learning Spring 2021β1,619Updated 8 months ago
- ζ΄ηAIηΈε ³ι’εηδΈδΊη»ΌθΏ°β383Updated 3 years ago
- Papers & presentation materials from Hugging Face's internal science dayβ2,047Updated 4 years ago
- Pen and paper exercises in machine learningβ2,338Updated 11 months ago
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andΒ codβ¦β2,234Updated 3 years ago
- Research papers with annotations, illustrations and explanationsβ828Updated 4 years ago
- A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth articβ¦β2,908Updated last year
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.β4,342Updated 6 months ago
- π Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colabβ¦β990Updated 10 months ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphyβ5,223Updated last month
- π A study guide to learn about Graph Neural Networks (GNNs)β1,206Updated 2 years ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.β2,093Updated 11 months ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expβ¦β2,072Updated 4 months ago