I am a research scientist at Polymathic AI in the Flatiron Institute working on machine learning for physical systems.
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Flatiron Institute
- https://mikemccabe210.github.io/
Stars
Polymathic's Large Omnimodal Model for Astronomy
Collection of kernels written in Triton language
A 15TB Collection of Physics Simulation Datasets
Code of the paper "Listening to the Noise: Blind Denoising with Gibbs Diffusion"
A modular framework for neural networks with Euclidean symmetry
Repository for code used in the xVal paper
Multimodal contrastive pretraining for astronomical data
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A library for easy and efficient manipulation of tensor networks.



