AI Learning

arXiv is a free distribution service and open-access archive for scholarly articles across multiple research fields.

Google Scholar provides a simple way to broadly search for scholarly literature across disciplines and sources.

Papers with Code is a free resource to find and follow state-of-the-art machine learning papers with accompanying code and related results.

OpenReview is a long-term project to advance science through improved peer review, supporting open peer review and scientific communication.

The ACL Anthology is an open archive of papers in computational linguistics and natural language processing.

DeepLearning.AI is an education technology company with a mission to grow and connect the global AI community.

fast.ai aims to make deep learning as accessible as possible through practical education and tools.

Kaggle is a large data science community with tools and resources to learn, practice, and collaborate on machine learning.

PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment.

NVIDIA Research advances state-of-the-art technology through research in areas like AI, graphics, and computing, sharing papers, code, and demos.

TensorFlow is an end-to-end open-source platform that makes it easier to build and deploy machine learning models.

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications.

The Stanford AI Index provides unbiased, rigorously vetted, globally sourced data to help the public understand trends in AI.

MLCommons is an open AI engineering consortium that develops industry-standard benchmarks and tooling to measure AI quality, performance, and risk.

Weights & Biases (W&B) is an AI developer platform providing tools to track, evaluate, and manage machine learning and AI development workflows.