LithiumDA

Ph.D. student, major in Machine Learning

Carnegie Mellon UniversityPA, US

Pinned Repositories

fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:Python0 0 00
L_inf-PINN
[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
Language:Python38 2 12
Lithiumda.github.io
Shanda Li's personal website
Language:JavaScript0 1 00
PINN-without-Stacked-BP
The official implementation of Learning Physics-Informed Neural Networks without Stacked Back-propagation (AISTATS 2023).
Language:Python7 1 02
Probability-and-Statistics-2022-spring
Code samples for Probability and Statistics (A), 2022 spring.
Language:Python4 1 04

LithiumDA/L_inf-PINN
[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
Language:Python38 2 12
LithiumDA/PINN-without-Stacked-BP
The official implementation of Learning Physics-Informed Neural Networks without Stacked Back-propagation (AISTATS 2023).
Language:Python7 1 02
LithiumDA/Probability-and-Statistics-2022-spring
Code samples for Probability and Statistics (A), 2022 spring.
Language:Python4 1 04
LithiumDA/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:Python0 0 00
LithiumDA/Lithiumda.github.io
Shanda Li's personal website
Language:JavaScript0 1 00