Tutorial: Julia for Scientific Machine Learning
Julia is a generic programming language designed for high-performance computing. This workshop introduced participants to the use of Julia in the Scientific Machine Learning field. The workshop included presentations and hands-on sessions.
Updated: TAMIDS SciML Lab Workshop: TensorDiffEq for Efficient and Scalable Physics-Informed Deep Learning
TensorDiffEq is a software package designed and developed by members of the TAMU SciML community to implement collocation-based neuralPDE solvers, data assimilation solvers, as well as parameter inference and PDE discovery. This workshop aimed to promote scientific machine learning methods within the A&M research community and get more A&M researchers started in this exciting field. Meanwhile, we are interested in engaging a local community in the future development of TensorDiffEq.