Showing 81-88 of 88 projects
This is a library for solving partial differential equations using neural networks.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
Next generation FEniCS problem solving environment for finite-element-based numerical simulations.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
JAX-based, hardware accelerated, batchable and differentiable optimizers for machine learning.
A PyTorch implementation of a real-time scene text detection model with differentiable binarization.
A pedagogical implementation of Autograd, a library for automatic differentiation in Python.
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