Jiaqing-ASU
Ph.D. Student (Computer Science) at VADER Lab, Arizona State University. Deep Learning, Topological Data Analysis, Interactive Machine Learning, Explainable AI.
Arizona State UniversityTempe
Pinned Repositories
AndroidStudio
characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
CSE511-TeamProject
decisiontree-tests
Jiaqing-ASU.github.io
learning-subspaces
llvm-tests
logicnets
loss-landscape
Code for visualizing the loss landscape of neural nets
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
Jiaqing-ASU's Repositories
Jiaqing-ASU/learning-subspaces
Jiaqing-ASU/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
Jiaqing-ASU/AndroidStudio
Jiaqing-ASU/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
Jiaqing-ASU/CSE511-TeamProject
Jiaqing-ASU/decisiontree-tests
Jiaqing-ASU/Jiaqing-ASU.github.io
Jiaqing-ASU/llvm-tests
Jiaqing-ASU/logicnets
Jiaqing-ASU/loss-landscape
Code for visualizing the loss landscape of neural nets
Jiaqing-ASU/loss_landscape_taxonomy
[NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
Jiaqing-ASU/m3_learning
Datasets, Tutorials, and Papers for the M3-Learning Research Group
Jiaqing-ASU/ml-db-tests
Jiaqing-ASU/ml-model-tests
Jiaqing-ASU/onnx-mlir
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Jiaqing-ASU/Py-ONNX-C-DB
A toolkit that enables users to leverage ONNX-MLIR from python
Jiaqing-ASU/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Jiaqing-ASU/ttk
TTK - Topological Data Analysis and Visualization - Source Code