GitHub topics: loss-landscape
Vis4SciML/Landscaper
Landscaper is a comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Language: Python - Size: 8.27 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 5 - Forks: 0

xxxnell/how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Language: Python - Size: 18.3 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 815 - Forks: 79

logancyang/loss-landscape-anim
Create animations for the optimization trajectory of neural nets
Language: Python - Size: 71.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 153 - Forks: 24

ayulockin/LossLandscape
Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 65 - Forks: 4

shamsbasir/investigating_mitigating_failure_modes_in_pinns
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 5

francesco-innocenti/pc-saddles
Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"
Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

fanghenshaometeor/ood-mode-ensemble
[Int. J. Comput. Vis. 2024] Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
Language: Python - Size: 491 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

isadrtdinov/understanding-large-lrs
Source code for NeurIPS-2024 paper "Where Do Large Learning Rates Lead Us"
Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 0

sayakpaul/Sharpness-Aware-Minimization-TensorFlow
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
Language: Jupyter Notebook - Size: 225 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 12

sungyoon-lee/LossLandscapeMatters
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️
Language: Python - Size: 113 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 2

VITA-Group/LTH-Pass
[TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang
Language: Python - Size: 8.54 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 2

HJHGJGHHG/Optimizer-papers
Worth-reading papers and related awesome resources on deep learning optimization algorithms. 值得一读的深度学习优化器论文与相关资源。
Language: Python - Size: 31.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

pxl-th/Yama.jl
Visualize loss landscape
Language: Julia - Size: 922 KB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1
