amirgholami/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Jupyter NotebookMIT
Stargazers
- bobiblazeskiBerlin, Germany
- DeimosXing
- digantamisra98@mila-iqia @landskape-ai
- diggerduBytedance AI Lab
- dobribanThe Wharton School, University of Pennsylvania
- ekshaksOffNote Labs
- emaballarinDept. of Maths, UniTS | @LACoNIC-UniTS ⊆ @ailab-units | @sissa-data-science | @AI-Student-Society
- fly51flyPRIS
- forgi86IDSIA
- HaitonsBJUT
- Haoxiang-WangNVIDIA
- Hiroki11xMila, Université de Montréal
- htwang14University of Texas at Austin
- huwenqing0606Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly University of Missouri, Rolla)
- IanQSUniversity of Washington
- koenhelwegenDutch Connectome Lab, VU
- leonoverweelDexter Energy
- maltanar@AMD Research Labs
- mengxixiIthaca, NY
- PingchuanMaMIT CSAIL
- rainfalj
- rajshah4@contextualai
- rishabh135Japan
- sIncerassUniversity of California, Berkeley
- talegariGames24x7
- tbennun
- trsvchn@BIMSBbioinfo @pytorch-ignite
- universomeSnap Inc.
- uuujfJohns Hopkins University
- vyom-kavishwar
- wangjingbo1219Shanghai AI LAB
- WangWenhao0716University of Technology Sydney
- yaohuicaiCornell University
- yiyuezhuoFree Planets Alliance
- yunchenloNational Tsing Hua University (NTHU)
- Zhen-DongUC Berkeley