Pinned Repositories
ATLASstylempl
Plot with matplotlib using ATLAS style
deep-learning-physics
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
Email_Sender
H1PCT
jing.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
MomentUnfolding
NPU
OmniFold
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use
stable-diffusion
jp2555's Repositories
jp2555/ATLASstylempl
Plot with matplotlib using ATLAS style
jp2555/deep-learning-physics
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
jp2555/Email_Sender
jp2555/H1PCT
jp2555/jing.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jp2555/MomentUnfolding
jp2555/NPU
jp2555/OmniFold
jp2555/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use
jp2555/stable-diffusion
jp2555/OmniFoldBSM
jp2555/Parameterized-DNN
A parameterized DNN based on the paper: https://arxiv.org/pdf/1601.07913.pdf for new particle search with unknown mass. The codes are currently used in low mass Z prime search analysis.
jp2555/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)