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Google Quantum AI
Explore Google Quantum AI’s latest research, tools, and resources to learn, experiment, and develop in the field of quantum computing and quantum hardware.
Advance your quantum computing experiments
Google Quantum AI is a hub for anyone interested in quantum computing, whether you're a researcher, developer, or just curious about this cutting-edge field. Here, you can access the latest research, learn about quantum hardware and software, and find resources to help you start your own quantum experiments.
The site features open-source tools, educational materials, and documentation to support you at every stage, from understanding the basics to developing advanced quantum algorithms. You’ll also find updates on new quantum chips, news, and opportunities to engage with the community or explore careers in quantum computing.
Whether you want to dive into research papers, experiment with quantum error correction, or simply discover what makes quantum computers unique, Google Quantum AI offers a welcoming starting point and a wealth of hands-on resources.
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Explore Google DeepMind's latest AI research, models, and technologies focused on building safe, responsible artificial intelligence to benefit humanity.
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fast.ai offers accessible tools, courses, and resources for learning and building practical deep learning and machine learning applications in Python.
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Explore Stanford's NLP Group for research, tools, and educational resources on natural language processing and computational linguistics.
TransferLab shares practical machine learning tools, research, and training to help businesses and practitioners apply AI in real-world settings.
Ollama lets you run and experiment with large language models on your own device, making it easy to download, try, and integrate AI models locally.
Apache OpenNLP is an open-source toolkit for building machine learning-based natural language processing solutions in Java.
Deploy and run high-performance open-source AI models on your own CPU or GPU servers with Neural Magic's flexible inference solutions.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
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