lhchau

Training dynamics observer

Pinned Repositories

backward-propagation
Implementation for backward propagation
Language:Python1 1 00
cs414-ml
CS414 - Machine Learning - In-class work
Language:Python00
DAZONE-round2
Language:HTML00
DAZONE-round3
Language:HTML0 1 00
empirical-sam
The gradient magnitude is a crucial factor in determining the ability of SAM to find flat minima.
Language:Python20
faster
Language:Python10
fathomnet2023
FathomNet 2023 - Top 12/69 on private test
Language:Python1 1 00
fundamental-sam
Source code for the paper "Fundamental Convergence Analysis of Sharpness-Aware Minimization"
Language:Python5 2 00
geometry-sam
3 1 00
lhchau.github.io
Language:HTML10

lhchau's Repositories

lhchau/fundamental-sam
Source code for the paper "Fundamental Convergence Analysis of Sharpness-Aware Minimization"
Language:Python5 2 00
lhchau/geometry-sam
3 1 00
lhchau/empirical-sam
The gradient magnitude is a crucial factor in determining the ability of SAM to find flat minima.
Language:Python20
lhchau/backward-propagation
Implementation for backward propagation
Language:Python1 1 00
lhchau/faster
Language:Python10
lhchau/fathomnet2023
FathomNet 2023 - Top 12/69 on private test
Language:Python1 1 00
lhchau/lhchau.github.io
Language:HTML10
lhchau/cs414-ml
CS414 - Machine Learning - In-class work
Language:Python00
lhchau/DAZONE-round2
Language:HTML00
lhchau/DAZONE-round3
Language:HTML0 1 00
lhchau/RBAC-season2
Language:R00
lhchau/Statistical-Rethinking
self-study
Language:HTML0 1 00
lhchau/zac2022
Zalo AI Challenge 2022 (E2E Q&A)
Language:Python0 1 00
lhchau/lstm
Language:Python
lhchau/nlp05
Language:Jupyter Notebook
lhchau/sam-label-noise
Language:Python