John F. Wu jwuphysics
jwuphysics
/ Starting out with FSPS.ipynb
Created
May 29, 2018 20:06
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jwuphysics
/ TabConvLearner.py
Created
April 8, 2019 20:24
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| from fastai import * | |
| from fastai.tabular import * | |
| from fastai.vision import * | |
| PATH = os.path.abspath('..') | |
| # distinguish categorical and continuous variables, and dependent variable | |
| cat_names = ['cat1', 'cat2', 'cat3'] | |
| cont_names =['cont1', 'cont2'] | |
| dep_var = 'target' |
jwuphysics
/ downloading-the-convnet-tutorial.ipynb
Created
July 30, 2019 06:10
Downloading the convnet tutorial
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jwuphysics
/ notebook.ipynb
Last active
March 25, 2020 14:55
— forked from muellerzr/Baseline.ipynb
a209c82b01000df7693467a7b9cbf17f
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jwuphysics
/ xresnet_deconv.py
Last active
May 5, 2020 18:47
adding deconvolution stems to fastai2 xresnets
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| """Combining fastai2 xresnet with deconv stem | |
| Hosted here: https://gist.github.com/jwuphysics/eb388eb3dcee4ccac84f8174a6915bc6 | |
| https://github.com/fastai/fastai2/blob/master/fastai2/vision/models/xresnet.py | |
| https://github.com/yechengxi/deconvolution/blob/master/models/resnet.py | |
| """ | |
| from fastai2.vision.all import * | |
| from deconvolution.models.deconv import FastDeconv # from `deconvolution` repo |
jwuphysics
/ Exploring tropical weather.ipynb
Created
November 6, 2020 18:32
Exploring tropical weather with TroPYcal
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jwuphysics
/ Neural network initialization and critical layers.ipynb
Created
December 18, 2020 20:31
Experiments on critical layers and CNN initialization: Inspired by the paper "Are All Layers Created Equal?" by Chiyuan Zhang et al. (2019, ICML workshop).
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jwuphysics
/ Siamese networks for galaxy CNNs.ipynb
Created
January 5, 2021 17:46
Siamese networks for galaxy CNNs.ipynb
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jwuphysics
/ astronomical-unet-gans.ipynb
Created
January 12, 2021 00:02
Astronomical UNet GANS.ipynb
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jwuphysics
/ vae-mmd.py
Last active
July 14, 2021 17:51
a rather slow Jax implementation of a VAE with MMD + ELBO loss
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| import jax | |
| import jax.numpy as jnp | |
| import quarks2cosmos | |
| import tensorflow_datasets as tfds | |
| import tensorflow as tf | |
| import haiku as hk | |
| import optax | |
| import pickle |
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