Discover comprehensive documentation, research papers, datasets, and tools to advance your AI knowledge and projects.
Preprint repository for research papers
ResearchML papers with code implementations
ResearchMachine learning datasets and competitions
DataPre-trained models and datasets
ModelsLatest research from Google AI
NewsResearch papers and findings
ResearchThe groundbreaking paper that introduced the Transformer architecture, revolutionizing NLP and beyond.
Comprehensive documentation and tutorials for PyTorch, the popular deep learning framework.
Large-scale dataset of images with object class labels, used for training computer vision models.
The groundbreaking paper that introduced the Transformer architecture, revolutionizing NLP and beyond.
Comprehensive documentation and tutorials for PyTorch, the popular deep learning framework.
Large-scale dataset of images with object class labels, used for training computer vision models.
Complete guide to machine learning in Python with scikit-learn library.
Seminal paper introducing BERT, which achieved state-of-the-art results on NLP tasks.
Comprehensive video course series covering deep learning fundamentals and applications.
Large corpus of web crawl data used for training large language models.
Weekly podcast discussing the latest developments in artificial intelligence and machine learning.
Collection of state-of-the-art models and implementations in TensorFlow.
Research paper examining ethical considerations in AI development and deployment.