GitHub / tensordiffeq / TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tensordiffeq%2FTensorDiffEq
PURL: pkg:github/tensordiffeq/TensorDiffEq
Stars: 115
Forks: 42
Open issues: 7
License: None
Language: Python
Size: 1.28 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: 2 months ago
Pushed at: over 3 years ago
Last synced at: 27 days ago
Topics: collocation, differential-equations, distributed-systems, gpu, gpu-acceleration, gpu-computing, multi-gpu, multi-gpu-training, neural-networks, neural-pde, physics-informed-learning, physics-informed-neural-networks, pinns, scientific-machine-learning, tensorflow, tensorflow2