sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
aba987edab70b822e925a909308cff25c5249b0404de0ec080b4c750f4c80f55 | Jupyter | 6,125 | 181 | # %% [markdown]
# # ReedBMI
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
76b102e03d145890e5c5b546ee620869dcfa30d68afc0881c7c2f5b113586ef5 | Jupyter | 6,129 | 178 | # %% [markdown]
# # SenCultureAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
baf598d6b24b274a208d5fad2f309287d24247580f58446d620be30e8170eba9 | Jupyter | 6,146 | 139 | # %% [markdown]
# # Training Regression Models on chemical reactions
#
# > Here we show how simple it is to train reaction BERTs on any regression task.
# %% [markdown]
# ## Available tools
#
# BERT and related transformer models have revolutionised Natural Language Processing. The implementation of such models is c... |
b0aa7e4f9326fba68993640cc31f6c367a8181263e8b36f78901e2eaf3089188 | Jupyter | 6,153 | 191 | # %% [markdown]
# # epiTOC1
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
d31658b7b802a2317f3da05f90be56f1b267afd79a325edacce56149ecd31ed8 | Jupyter | 6,156 | 181 | # %% [markdown]
# # CVDWesterman
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
cfc31c4f95b50a9b3957180a459a9689c35c8d3c2398a6b039e6e662b2ce0547 | Jupyter | 6,167 | 191 | # %% [markdown]
# # CellPopAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights... |
1faeab466903f70e9c729fc57e8331ecbbf525c4ad4f259554d9dcba4ada3337 | Jupyter | 6,168 | 192 | # %% [markdown]
# # Meer
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-into-... |
5193a59c35e743e4f3626f8308b938ff86a36a6ff595b0eec1553200c0707af2 | Jupyter | 6,171 | 192 | # %% [markdown]
# # Petkovich
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-... |
b63b4c2f50afb07c267e299e6c8541a3848c4d83bc37e8df487f1395152e1290 | Jupyter | 6,189 | 193 | # %% [markdown]
# # CorticalClock
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
5f36ee02870662edf32575bf128f637ea74635dce658349bb52ac78a505c6df1 | Jupyter | 6,197 | 193 | # %% [markdown]
# # LeeRobust
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-... |
059935a7b7c1892be3c4e55ab36d28c1c8dde3c081922366f11c1530da5984e0 | Jupyter | 6,202 | 193 | # %% [markdown]
# # LeeControl
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights... |
008f02e1ecd12181dca2a0688895b0c4ae559c1d55809b06524964e6bb5a0eea | Jupyter | 6,204 | 204 | # %% [markdown]
# # ZhangMortality
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-wei... |
15eb0e2270c17a5c257fe7752f6dab6e4c09dd98ab3b895a9e4421c52dd31555 | Jupyter | 6,213 | 179 | # %%
import matplotlib.pyplot as plt
from matplotlib_venn import venn2
from matplotlib_venn import venn3
import xlrd
import xlsxwriter
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
namea='FS1094_proteinGroups (1)'
nameb='pMG_20210621_microglia proteomics raw data'
na... |
75faeaf0603bec1b27680363298585b8d94856d8278b100985599d9c502e4958 | Jupyter | 6,217 | 181 | # %% [markdown]
# # Bohlin
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-int... |
d3c283d515abade0d22420b24c39c200cff843ba2003d2752ca7fa524d446193 | Jupyter | 6,229 | 190 | # %% [markdown]
# # EnsembleAgeStatic
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-... |
5d67f9490707bdf57ed8002ff29e2ab36b19e96543104691a945aff421367dac | Jupyter | 6,240 | 180 | # %%
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 14 14:13:34 2022
@author: dmc lab
ION Grad Bootcamp 2022
Widefield Data Analysis
"""
import os
import numpy as np
import easygui
import tifffile
import glob
from skimage import io
from skimage.measure import block_reduce
import matplotlib.pyplot as plt
from matplot... |
528067ec6b23c123ac62bc00eb705c4fd336d565f1910506877e2dd455a841df | Jupyter | 6,243 | 191 | # %% [markdown]
# # stemTOC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
43a5a8211ff3d860305740ffcb4ec0459861302a32452a42a7fd0e6b3e1d9f5f | Jupyter | 6,250 | 180 | # %% [markdown]
# # Weidner
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
65b18ab333cd596c9e5a1cd8fb0985f081d76315e0d2f45af6d4cf57572c2dde | Jupyter | 6,253 | 181 | # %% [markdown]
# # DunedinPoAm38
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
fb5c4c0342fd6b10349cf22503819e6196a98f5c811ddb8734eac073c3a9febd | Jupyter | 6,260 | 200 | # %% [markdown]
# # Pasta
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-into... |
53841330cef5198a86f8e763c894bc75a2b89ac35f00c686c06549deb90b73e0 | Jupyter | 6,268 | 190 | # %% [markdown]
# # Setup
# ## Goals
#
# 1. Identify cell types captured in MS1 that express analytes assayed in both in-house and Evetech cytokine assays
#
# ## Import packages
# %%
import scanpy as sc
import pandas as pd
import numpy as np
import os
# %%
print(sc.__version__)
print(pd.__version_... |
451d0ca9850007920573d232bd852c6fc20d10878db7943ee05f3415da4dfb53 | Jupyter | 6,270 | 189 | # %% [markdown]
# # DNAmIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-int... |
9952be0815a3c077870b2329ec1f60bb326214cfaf01a297a4ea611fc79b46ee | Jupyter | 6,272 | 193 | # %% [markdown]
# # MammalianFemale
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-we... |
93bd9942c50325ed7c944f2c1b2933e2fd3ba7dff3d0bd7cb3d0969b5073d3b8 | Jupyter | 6,289 | 193 | # %% [markdown]
# # LeeRefinedRobust
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-w... |
7cbde50356f352afb73250d01c23f024860277779fd111009aa372540fc59409 | Jupyter | 6,299 | 190 | # %% [markdown]
# # EnsembleAgeStaticTop
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
e04a62fa7a815a93292a25e854c95a82b5fa42463edecbe40813cf9590472827 | Jupyter | 6,300 | 244 | # %% [markdown]
# # SCH23390 TFC Analysis
#
# ### Table of Contents
#
# 1. [Experiment Info](#ei)
# 2. [Imports and Set Up](#is)
# 3. [Training](#tr)
# 1. [Load and Clean Training Data](#lctr)
# 2. [Plot Training Data](#pltr)
# 4. [Tone Test](#to)
# 1. [Load and Clean Tone Test Data](#lcto)
# 2. [Plot... |
9efbcd847f738f47799dba984c85f3febcbb0b327b57cc82985296acf35924af | Jupyter | 6,306 | 185 | # %% [markdown]
# # GliaSin
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
1a1920b289a8ea6ffa7c1f24a4092bcaa20be48a3efb6ab2d4b73bdadae5e7c1 | Jupyter | 6,325 | 192 | # %% [markdown]
# # YingCausAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
8ea5e01d90f59aceab06b601886db7e8194af68f15c9acdb43bf842c39ee762c | Jupyter | 6,331 | 202 | # %% [markdown]
# # Knight
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-int... |
1f308eff1330ed096ddf84cacd14dcab2e52e6a0d6e60f2e184161aa581ef7f1 | Jupyter | 6,346 | 203 | # %% [markdown]
# # Notebook for training Dev-ResNet with Triplet Semi-Hard loss
#
# A notebook outlining the training and inference process for Dev-ResNet with Triplet Semi-Hard loss, for the purpose of visualising the differences between detected features in high-dimensional space between developmental events. Note ... |
553b027175c9604fc92b97944ac133cd91686322c3aca6bdb458c43e3a352d2d | Jupyter | 6,346 | 198 | # %%
import os
os.environ['QT_QPA_PLATFORM']='offscreen'
import ete3
from ete3 import Tree, TreeStyle, NodeStyle, faces, SeqMotifFace, TextFace, CircleFace
import pandas as pd
import urllib.request
from pathlib import Path
import numpy as np
import matplotlib
# %%
output_dir = "figs"
# %%
for f,url in (("../data/exp... |
42594b632891c0f412b6d1b61943f628e10d66107925f5967dc68fad3cda0050 | Jupyter | 6,350 | 166 | # %% [markdown]
# # sPYcon Tutorial
# %% [markdown]
# sPYcon is a toolbox to easily use and benchmark connectivity inference algorthims. In the following basic functionalities are explained step by step.
# %%
# Basic imports
from matplotlib import pyplot
import numpy
# %%
#spycon_test = load_test(name='ren_simulatio... |
c45f0c6144d7b8471b10493a5627a942cc3d7be48c3b74a3180155df256cdffb | Jupyter | 6,352 | 181 | # %% [markdown]
# # HepatoXu
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-i... |
12ed2d2882db20dacc70faa1bea0d58549cbf1fcfd32d1e918ad8fabca88b6b8 | Jupyter | 6,353 | 192 | # %% [markdown]
# # RepliTali
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-... |
63f6fe33878c7c599f898c379db5cbe1f95cd69d213e1af62c15016dad9ed145 | Jupyter | 6,353 | 182 | # %% [markdown]
# # McCartneyWHR
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
f47399c482b00579c1f5bea01d423b5da2de4f7c8e0cbfbd41de43a5bbe3de14 | Jupyter | 6,363 | 185 | # %% [markdown]
# # EnsembleAgeHumanMouse
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#L... |
0c100f1dad52ecc851953cb4027d34dec8444c544a91a7f9d6f8d01258a63f54 | Jupyter | 6,369 | 185 | # %% [markdown]
# # CompIL6
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
f7b311bf30898647233bd9cc9394e7f6cfd72d774a6401e3a2bf13be2816875c | Jupyter | 6,374 | 158 | # %% [markdown]
# # Clustering compounds based on the similarity of their Morgan fingerprints
# %% [markdown]
# You are going to use a Jupyter notebook originally featured in our Nature Protocols paper.
#
# Please cite: Tran-Nguyen, V. K., Junaid, M., Simeon, S. & Ballester, P. J. A practical guide to machine-learnin... |
7a2dfd4db5c632f9ccb0d4ebab559fe5d909225f758aab2509c3ccc1de323785 | Jupyter | 6,391 | 180 | # %% [markdown]
# # DepressionBarbu
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-we... |
e96dd7275a0413ee40033df057fb511f96f757b541ee0bd8730a02d8b6e7c1df | Jupyter | 6,397 | 192 | # %% [markdown]
# # YingDamAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights... |
0df6000338217b849e05cf4f5657acb2fd90b4ed2d669dd49ac544acd42a1b90 | Jupyter | 6,416 | 192 | # %% [markdown]
# # SkinAndBlood
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
d28c6e9b371a449f99473ff6873dfe28c714afab57ad251feab051365181b57e | Jupyter | 6,417 | 192 | # %% [markdown]
# # YingAdaptAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
f03d0c77c857e0c45dd31a7ed8fa12b5752e643ff0b3b0d2451f4ae978644a52 | Jupyter | 6,430 | 237 | # %% [markdown]
# # LC ChR2 65dB 0.2mA TFC 180s ITI Analysis
#
# ### Table of Contents
#
# 1. [Experiment Info](#ei)
# 2. [Imports and Set Up](#is)
# 3. [Training](#tr)
# 1. [Load and Clean Training Data](#lctr)
# 2. [Plot Training Data](#pltr)
# 4. [Tone Test](#to)
# 1. [Load and Clean Tone Test Data](#l... |
e6737825081475b3573ef2936f65baa52b17188e3338f5765b7a74beb4c88480 | Jupyter | 6,445 | 194 | # %%
#Basics
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import sys
import os
import csv
import time
import random
import pandas as pd
# %%
val_file = pd.read_csv('/home/kvattis/Documents/data/train_dataset_control_AT_Mel_Spec_2022_noise_red2_severity_v9.csv', names=["P_ID", "Address", "Label"... |
8c3e2cd22b603366384185caee58cb5512156b9a844e0cce40a67504ce45d583 | Jupyter | 6,447 | 182 | # %% [markdown]
# # McCartneyTotalHDLRatio
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#... |
06734a23866d6d68573a51964e5a94493ae6355e16954c54a86f32a28683a4b1 | Jupyter | 6,456 | 170 | # %%
import matplotlib
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from helper import *
from tqdm import tqdm_notebook
import brainconn as bc
import pandas as pd
import seaborn as sns
import nilearn.plotting as plotting
import palettable as pal
import matplotlib.colors as mcolors
import matpl... |
9d099ece6a77694a7c26fe6e8eecacac72f74fa43f3813d71cbcca14d3ad6f9c | Jupyter | 6,503 | 210 | # %% [markdown]
# # ZhangBLUP
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-... |
ead94894200a7b5968666416761c1f16fcbbbd6e19466f3c63b1964109c7f9b5 | Jupyter | 6,503 | 198 | # %% [markdown]
# # HypoClock
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-... |
00499be3cfc27f13623a8e4ffa041945625d7da6342d06242232673ead3193c2 | Jupyter | 6,509 | 201 | # %% [markdown]
# # SmokingMcCartney
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-w... |
70d148f1bbb71352946eeb68f4a816a28319c6aa1cac117988fd6155b2104184 | Jupyter | 6,511 | 150 | # %%
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
#from sklearn.metrics import roc_curve, auc, RocCurveDisplay, precision_recall_curve, PrecisionRecallDisplay
#from helpers import read_metrics_csvs, read_fastas
import math
from sklearn.metrics import roc_curve, auc, RocCu... |
4155185cd78f9802cbd37686d1c1605347c077fb98fd2dd55d6554e7dfdcefa3 | Jupyter | 6,521 | 162 | # %% [markdown]
# # Computing the Morgan fingerprints of molecules and comparing them
# %% [markdown]
# You are going to use a Jupyter notebook originally featured in our Nature Protocols paper.
#
# Please cite: Tran-Nguyen, V. K., Junaid, M., Simeon, S. & Ballester, P. J. A practical guide to machine-learning scori... |
c55ca26b103963282a360225138eeffb577642c381aef3035510e0de6642e1fe | Jupyter | 6,522 | 210 | # %% [markdown]
# # ZhangEN
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-in... |
7728d466a876367bb1ae6ce4929cf4ac94cd6f32b8048c237afa98639096d70d | Jupyter | 6,526 | 190 | # %% [markdown]
# # LC GcAMP Tone Only Analysis
# %%
import matplotlib.pyplot as plt
%matplotlib inline
import pandas as pd
import numpy as np
import sys
# change pkg_path variable to the directory storing the package
sys.path.insert(0, '../utility_code')
import fp_dat, fp_viz
import seaborn as sns
import statsmodels.... |
16adcef08afc5b300be59a242556f6f568e1fadf41d1fedc5ab56c27c53ce0db | Jupyter | 6,527 | 203 | # %% [markdown]
# # GrimAge2ADM
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
f299190ace8c59f9817796af6875d8b0f3a6d8843d929566f7f2c4c2279fddb7 | Jupyter | 6,531 | 182 | # %% [markdown]
# # McCartneyAlcohol
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-w... |
1e514c751fe9e1e876b9587696d3ff7e267b2a020f20613de7b68dc0570e43af | Jupyter | 6,533 | 206 | # %% [markdown]
# # GrimAge2Leptin
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-wei... |
d3b770807231e2a73dee450192407afef4ff6a4af99d3d77efe0bc584f431d1b | Jupyter | 6,535 | 194 | # %% [markdown]
# # Thompson
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-i... |
d8abb5ac3786a950001779228e00fbb193b3f101689bf8830a6822a727d62869 | Jupyter | 6,539 | 194 | # %% [markdown]
# [](https://colab.research.google.com/github/lucascamillomd/pyaging/blob/main/tutorials/tutorial_blood_chemistry.ipynb) [](https://nbviewer.jupyter.org/gi... |
51cdb82f25ae9b92224c4b3833d3f2b365a4fef0a066881e3b2bdba63e795856 | Jupyter | 6,543 | 206 | # %% [markdown]
# # GrimAge2LogA1C
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-wei... |
8faac1c42d6ba2e2a92fa567cd12bb740b8f9f559f440df7155759683b664e6e | Jupyter | 6,553 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
01b94b3bb421563a16066212bbc0b3d42fa20f6d221d2c21a8cb21996292e537 | Jupyter | 6,557 | 193 | # %% [markdown]
# # DNAmStress
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights... |
68ec277bb440d4fdfed6b629cf74721f8ad9a91927cfc6447302f7b763be530c | Jupyter | 6,560 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
629376957a453f521618cc1c1ba6ac079dfb49862b9e2f9cca46ffbff6063269 | Jupyter | 6,564 | 206 | # %% [markdown]
# # GrimAge2CystatinC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-... |
821720b8c4f9006b2c61d9ab5a71e9aa18dd3a4f166eba50032dbf3681812afb | Jupyter | 6,564 | 206 | # %% [markdown]
# # GrimAge2LogCRP
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-wei... |
88b926afe7d138c20ef52b56b2fc13d8f38ce222598dd9374a6093096acfc685 | Jupyter | 6,565 | 206 | # %% [markdown]
# # GrimAge2PackYrs
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-we... |
3ae133f7babf0bafafb223954c2b82066486454cab4cca627a2d08e66d011f4c | Jupyter | 6,566 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
3ceec76a3dab283a78be498b670d0142e1fff61c40a039b11136c40aa38c9d80 | Jupyter | 6,566 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
ac88c7145a9e911f24dfeb7b5e1625329a09ee33159a97777a979d6809670666 | Jupyter | 6,566 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
325becd45dd55bbe20c6febf18cf680498c47fd0d5885f6226851ae84bf245f6 | Jupyter | 6,568 | 238 | # %%
from pathlib import Path
import sys
from dotenv import load_dotenv, find_dotenv
load_dotenv()
PROJECT_ROOT = Path(find_dotenv()).parent
sys.path.append(str(PROJECT_ROOT.joinpath('src')))
print(f"Project root directory: {PROJECT_ROOT}")
# %%
import numpy as np
import plotly.graph_objects as go
# %%
# function to... |
7199f20d8a817d4c9b87a772fcad5971c4e8b1efeab089baeb1b763124c6173b | Jupyter | 6,569 | 206 | # %% [markdown]
# # GrimAge2PAI1
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
5e877854731404ce1dae5bf34da114e79633eb09e7037764650e5edafee66f6e | Jupyter | 6,580 | 274 | # %% [markdown]
# # Template
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-i... |
2ea50ebc1399f8cde637880c8bc9c9574f725ea84c3ed8d277a1af90862f24a2 | Jupyter | 6,585 | 203 | # %% [markdown]
# # DeconvoluteBloodEPIC
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Lo... |
5b91b24f74900129d10522585546be64979f74eb37c18aacf00f1d25a003bbb6 | Jupyter | 6,593 | 209 | # %% [markdown]
# # Training notebook for training and evaluating the an equivalent 2D version of Dev-ResNet: ResNet18
#
# A notebook outlining the training and evaluation procedure for ResNet18, an equivalent residual CNN to Dev-ResNet. Note that this is specifically set up in terms of parameters for a dataset compr... |
42969e067afd2dcd55b2cd9afbfde2fffd79a322f0a50843ed9c1848f2c3ae07 | Jupyter | 6,595 | 206 | # %% [markdown]
# # GrimAge2GDF15
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
4e7b5fd63d8b6ff5227ae1414f544aa532e03d5d66654d6941494c112df667c2 | Jupyter | 6,598 | 206 | # %% [markdown]
# # GrimAge2B2M
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
b2fa12521645a0eb44e96782005a4ece06a9520af17e2c1a826cb3037203c247 | Jupyter | 6,607 | 213 | # %% [markdown]
# # DunedinPACE
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
f295121bde339d5130a29791eeddf7613b3ee01ad2ddb82077b05466f57de35e | Jupyter | 6,607 | 186 | # %%
%matplotlib inline
import os, glob
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from scipy.optimize import curve_fit
import scipy.optimize as opt
import matplotlib.lines as mlines
import pandas as pd
import csv
from skimage import io
from matplotlib.gridspec import GridSpec
from scip... |
6702268cc6a921a4ac679214eb192b0e79145a3817f4541e31a2d2498720d14a | Jupyter | 6,628 | 206 | # %% [markdown]
# # GrimAge2TIMP1
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
37ff4a24a7ee3fa641608ea2d0fc937270eec9182a82a6008f93ad0bce67f356 | Jupyter | 6,629 | 201 | # %% [markdown]
# # McCartneyBodyFat
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-w... |
f15a85bf1b9b79629c92600a0a06558a8e0c886046713a061cb415e20dcddcbb | Jupyter | 6,632 | 156 | # %% [markdown]
# # Plotting chromosight's output
#
# Chromosight generates tabular text files with loops coordinates and scores. This file can be loaded into your favorite scripting language for visualization. For the purpose of this demonstration, we show how to plot the contact maps with detected coordinates using ... |
07001a13b2949ccdc294cbc17288edf78e84b5c68cc5891378f2358a407ea733 | Jupyter | 6,633 | 198 | # %% [markdown]
# # ProstateCancerKirby
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Loa... |
3f4c7930fa036a33bf8f49aff4190ba2ca888253dde2dd8f4212ac13205b895d | Jupyter | 6,634 | 194 | # %% [markdown]
# # Read in data
# %%
if (!require("tidyverse")) install.packages("tidyverse")
#if (!require("VIM")) install.packages("VIM")
#if (!require("Amelia")) install.packages("Amelia")
#if (!require("naniar")) install.packages("naniar")
#if (!require("visdat")) install.packages("visdat")
#if (!require("SparseM... |
1e869d234912ada9d735ec9b52baedf037ce19deda197018a6f5ea1f19d46d22 | Jupyter | 6,650 | 208 | # %% [markdown]
# # OcampoATAC1
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
a09279119ea5853ff1f44abda5473ec8a171f406a498fea94bf9fabebf0e7b19 | Jupyter | 6,651 | 201 | # %% [markdown]
# # McCartneyBMI
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weigh... |
12ed641ab79fbf75e7508383c47d836ec6bb89bbda3fe1a9df5614e2546cb601 | Jupyter | 6,658 | 201 | # %% [markdown]
# # McCartneyHDLCholesterol
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](... |
b805c31ab964ccd607759475c3d9d9116ac73b9015bd7b14feb983966b6d9bb3 | Jupyter | 6,658 | 201 | # %% [markdown]
# # McCartneyEducation
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load... |
2bc3284ad2cb7226fa62e52e4dc3becfac7c26dec68b13028971624af0325a89 | Jupyter | 6,662 | 198 | # %%
import warnings
warnings.filterwarnings("ignore")
from fmriprep_denoise.dataset.atlas import ATLAS_METADATA
from fmriprep_denoise.visualization import figures, utils
import ipywidgets as widgets
from ipywidgets import interactive, interact
path_root = utils.repo2data_path() / "denoise-metrics"
# %% [markdown]... |
9cb5adbe4368a0027e02122a8f654305939b50f24e13a93a9a49d4575d10e2f3 | Jupyter | 6,681 | 257 | # %%
import scanpy as sc
import pandas as pd
import numpy as np
import sklearn.metrics
import torch
import torch.nn as nn
from torch.optim import Adam
import torch.utils.data as Data
from sklearn.model_selection import train_test_split
from sklearn.metrics import f1_score
from collections import Counter
# %%
label = s... |
5769202b4331314869c9c73e357cabf18b64b1f4356ba4b64c9de33142932134 | Jupyter | 6,682 | 201 | # %% [markdown]
# # McCartneyTotalCholesterol
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model... |
a91fe407bbc761a3900354ad3b10b6ad907b1ed7bb9adc8f36b7ced83b8994f8 | Jupyter | 6,689 | 195 | # %% [markdown]
# # PhenoAge
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-i... |
0a863c7e267f6b605e2d628cd482c8075a2cf6e83cdb72c7c18aced2763d6648 | Jupyter | 6,690 | 225 | # %% [markdown]
# # Command line interface
#
# The PCNtoolkit is a python package, but it can also be used from the command line.
#
# Here we show how to use the PCNtoolkit from the command line.
#
# Furthermore, you can use this script to generate commands for the command line interface. (Although if you are able ... |
f5c0b717825a7ad178463947f3303ade832965f46638573d18ce6394f846de7e | Jupyter | 6,697 | 201 | # %% [markdown]
# # McCartneyLDLCholesterol
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](... |
f3606c5916ad3a7e6d0a23673780ea72b1ff8e9a0595a778ae7a4350199f9c2d | Jupyter | 6,714 | 215 | # %% [markdown]
# # Training notebook for training and evaluating the Dev-ResNet model
#
# A notebook outlining the training and evaluation procedure for Dev-ResNet. Note that this is specifically for a dataset comprising developmental sequences of the great pond snail, Lymnaea stagnalis.
#
# ## Dependencies
#
# Th... |
9dbc4aa467f6a9c0fc54326999518ae5daf3e96a9a26fa6ac61ce5f448b89c57 | Jupyter | 6,721 | 201 | # %% [markdown]
# # Horvath2013
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weight... |
0bdc47a0ebe48ad768abb25dc8cd28b96f68f7bc8a04e3ad97be8ec5f405829b | Jupyter | 6,738 | 209 | # %% [markdown]
# # XChrom
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-int... |
7acefe6e17c1934b859d3f1d2203250a97fdd031e8080fac74222c2d7ac2df1b | Jupyter | 6,739 | 173 | # %%
import scipy as sp
import scipy.io
import scipy.stats
import os
import numpy as np
import pandas as pd
import glob
import random as rand
from tqdm import tnrange, tqdm_notebook
import sys
sys.path.append(os.getcwd()+'\\..')
import cmocean
from utils import utils
from utils import zscores## If exporting figures for... |
17499b52365320ce3b15909f2ba986b925cf1fc661b86f30094a4ac64d0ac2e8 | Jupyter | 6,744 | 209 | # %% [markdown]
# # YChrom
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weights-int... |
9f914fd7bd3a0dba6abdb08f20f322d6985680e5e931d2ff5ef1969d51760555 | Jupyter | 6,746 | 196 | # %%
import pandas as pd
import numpy as np
from pathlib import Path
code_dir=Path.cwd()
project_dir=code_dir.parent
cat_dir=project_dir.parent/"cat12"
input_dir=project_dir/"input"
output_dir=project_dir/"output/abannotate"
tmp_dir=project_dir/"tmp"
output_dir.mkdir(exist_ok=True)
# %%
bootstrap_pls_df_schaefer100 ... |
674c683939976a13ea74457ff7b9fe96814b2dc181695ad5ed618f88debb6698 | Jupyter | 6,761 | 193 | # %% [markdown]
# # RepliTaliNorm
# %% [markdown]
# ## Index
# 1. [Instantiate model class](#Instantiate-model-class)
# 2. [Define clock metadata](#Define-clock-metadata)
# 3. [Download clock dependencies](#Download-clock-dependencies)
# 4. [Load features](#Load-features)
# 5. [Load weights into base model](#Load-weig... |
5bc14bd050556d7679338e0f2f2db966cbca74efb55913e42d483c75d44f3b24 | Jupyter | 6,782 | 178 | # %% [markdown]
# ### ====== Loading, Reconstructing and Visualizing the fastMRI Prostate dataset ======
#
# #### To download the fastMRI prostate dataset: https://fastmri.med.nyu.edu/
# %%
import argparse
import h5py
import numpy as np
from pathlib import Path
from matplotlib import pyplot as plt
import xml.etree.E... |
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