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We're releasing the public beta of #NeuralOperator, 1.0. A ground up #Python library containing neural operator architectures, datasets, examples, running codes, and algorithms for ML on functions. As a collective effort, we invite researchers, in particular in #AInScience, to contribute and advance the library for better science.
Introducing NeuralOperator 1.0: a Python library that aims at democratizing neural operators for scientific applications by providing all the tools for learning neural operators in PyTorch : state-of-the-art models, built-in trainers for quick starting and modular neural operator blocks for advanced used in your own workflow or to build new architectures.
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@rzirvi13 and I are presenting today our work on "Diffusion-State Guided Projected Gradient for Inverse Problems." at the D3S3 Workshop. Joint work with @AnimaAnandkumar. #AInScience #NeurIPS2024 [1/6] Paper: arxiv.org/abs/2410.03463
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At #NeurIPS2024, Join the D3S3 workshop on Dec 15th. We all will discuss #AInScience, solvers, #NeuralOperators, computational methods, PDEs, PINNs, and #MLonFunctions. And generally the future of AI research and technology. d3s3workshop.github.io/sched…

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ICML2024 Tutorial on "Neural Operators & Machine Learning on Function Spaces" is now out. #NeuralOperators #AInScience @nvidia @NVIDIAAI youtube.com/watch?v=_j7bceE9… Looking forward to building the future of this field with the bigger community, all together.
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20 Jan 2015
Highest mark in class in the first science mock has actually made my day👍😂 #Ainscience #whaaaat
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