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# This script checks for FMRIPREP func files, iden... | Motion_Threshold.ipynb |
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# + [markdown] id="fT5TU5IL7PlG"
# ### Imports
# + id="b-Xgp5qZ6rsB"
import ... | 04_Corona_Tweets/01_CovidTweets_NLP.ipynb |
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# ## What is Pandas?
# Pandas is an expansive data-ana... | kismet_db_guat_mex/kismet_pandas_basic.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/Train/99-tweet-train-5fold-roberta-base-lbl-smth02-avg4.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/examples/assignment_with_constraints_sat.ipynb |
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# Erasmus+ ICCT project (2018-1-SI01-KA203-047081)... | ICCT_it/examples/04/SS-29-Osservatore_per_sistemi_non_osservabili.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | notebooks/ac4119/.ipynb_checkpoints/03-svm-model-checkpoint.ipynb |
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# # Evaluate features
#
# This notebook demonstrate ho... | notebooks/notebook3.ipynb |
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#Misc
import scipy.io as sio
import os #to access ... | .ipynb_checkpoints/trying-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | python_materials/learn-python3/notebooks/beginner/exercises/numbers_exercise.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BERT(ktrain)_Sentiment_Analysis.ipynb |
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# # Time Series Forecasting w/ Facebook's Prophet
#
# ... | exploratory/connor_time_series_flu.ipynb |
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import numpy as np
import pandas as pd
#the datasheet... | Playstore Rating.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | lab/01-Data-Visualization/01-Data-Visualization.ipynb |
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# ![quiver](https://matplotlib.org/mpl_examples/mplot3... | K3D+MPL/quiver3d_demo.ipynb |
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from jupyterthemes import get_themes
from jupytertheme... | dim_reduct/PCA.ipynb |
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# + [markdown] colab_type="text" id="W_tvPdyfA-BL"
# ##### Copyright 2018 The... | site/en/r1/tutorials/images/hub_with_keras.ipynb |
;; -*- coding: utf-8 -*-
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... | exercises/1.04.ipynb |
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# ### 20181013 flow data
# +
import fcsparser
import... | F1_S1_S2_S3_flow_analysis/20181013_G418_smg1i-old/fcs/.ipynb_checkpoints/20181013_smg1i_G418_flow_analysis-checkpoint.ipynb |
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# # Introduction to Python
#
# ## [Classes](https://... | Notebooks/09_Classes.ipynb |
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realdic=pd.read_csv("wordcounts... | mergedict.ipynb |
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import torch as t
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fr... | notebooks/test_ensemble.ipynb |
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# %pylab inline
# input image dimensions
img_row... | final_project/Untitled.ipynb |
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from... | DecisonTree.ipynb |
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# + [markdown] slideshow={"slide_type... | lectures/Lecture-1.ipynb |
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import pandas as pd
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i... | Economic_Indicators_SA.ipynb |
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# # Generating counterfactuals for multi-class classif... | docs/source/notebooks/DiCE_multiclass_classification_and_regression.ipynb |
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# + [markdown] id="dUeKVCYTbcyT"
# #### Copyright 2019 The TensorFlow Authors... | site/en/tutorials/structured_data/imbalanced_data.ipynb |
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import numpy as np
from glob import glob
import o... | 03. Combine Reduced Products.ipynb |
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urlpage='https://www.yelp.com/search?find_desc=Coworki... | streeteasy.com/streeteasy.com.ipynb |
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# # Example 3: Necessary and Sufficiency for containme... | doc/source/Example 3.ipynb |
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# + [markdown] colab_type="text" id="SV7gaADiicnV"
# #... | module3-quantile-regression/LS_DS_233_Quantile_Regression.ipynb |
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# change the river discharge source point of Fraser an... | jie/New river discharge file.ipynb |
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# coding: utf-8
import sys, os
sys.path.append(os.... | ch7/simple_convnet.ipynb |
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# + [markdown] colab_type="text" id="ISubpr_SSsiM"
# ##### Copyright 2019 The... | site/en/r2/tutorials/eager/tf_function.ipynb |
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from chainer import datasets, serializers
from cvae im... | examples/test_cvae_iaf_mnist.ipynb |
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# # Day 5
# 7, 100
# ### Import modules
# %matplotli... | Classifiers/Day5/Day_5_7-50.ipynb |
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# # Hello GCN
import numpy as np
import networkx
from... | Codes/DeepLearning/GCN/hello_gcn.ipynb |
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# # Images et matrices
#
# Quelques manipulations d'im... | _doc/notebooks/cheat_sheet/chsh_images.ipynb |
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pip install keras-vggface
pip install keras_applicat... | deepfake.ipynb |
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... | Classifier/ACGAN_RAN_Classifier.ipynb |
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# #### Import neccessary libraries and set paths
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import ... | notebooks/plot_galaxy_pictures.ipynb |
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import bmt
import requests
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import numpy as np
from tqdm import tqdm
import timeit... | GM_2d.ipynb |
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# %matplotlib inline
#
#
# # Background information o... | 0.15/_downloads/plot_background_filtering.ipynb |
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# ## RNN Overview
#
# <img src="http://colah.github.io... | Tutorials/TensorFlow_V2/notebooks/3_NeuralNetworks/dynamic_rnn.ipynb |
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# # Indicator Tutorial
#
# The purpose of this spreads... | examples/071.indicator-tutorial/indicator-tutorial.ipynb |
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# %pylab inline
import numpy as np
import math
# Cond... | TrayectoriaParticulas.ipynb |
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# ## Title
# MCMC from Scratch for Linear Regression
... | content/lectures/lecture27/notebook/MCMC_FromScratch_Scaffold.ipynb |
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# # Event Prediction
# Observations come from 2 d... | event/Model.ipynb |
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# # Executive Summary
# +
# This analysis looks at th... | KHPN 16 Departures Radar Analysis.ipynb |
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# !python --version
# !pwd
CONFIG = 'basic_rnn'
BUNDLE_PATH = '/root/magent... | magenta/models/melody_rnn/melody_rnn_train.ipynb |
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# # 5. CREATE PYLDAVIS BROWSER
#
# [pyLDAvis](https://... | src/templates/v0.1.9/modules/pyldavis/.ipynb_checkpoints/new_pyldavis-checkpoint.ipynb |
import sys
sys.stdout.write('hello world\n')
sys.stdout.flush()
for i in range(3):
sys.stdout.write('%s\n' % i)
sys.stdout.flush()
sys.stderr.write('output to stderr\n')
sys.stderr.flush()
sys.stdout.write('some more stdout text\n')
sys.stdout.flush()
# # Markdown Cell
#
# $ e^{ \pm i\theta } = \cos \theta \pm... | dev/notebooks/ping.ipynb |
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# ## Generating OpenFoam 6DoF Files
#
# This Jupyter n... | 6DoFOpenFoam/6DoFOpenFoam.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tebyan_Arabic_NER_Model_Testing.ipynb |
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# # Female headed house... | EDA.ipynb |
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# # Tutorial N: Title
#
# **Filled notebook:**
# [![V... | docs/tutorial_notebooks/DL2/template/TemplateNotebook.ipynb |
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# # **Curso Python - Curso em Vídeo - Mundo ... | Curso_de_Python_3_Mundo_3.ipynb |
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# # Facial Recognition Using Vgg Face
#
#
# The V... | Recognition-Algorithms/Face Recognition using VGG/Training VGG Model.ipynb |
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# # Removing noise fr... | docs/source/tutorials/2-creating-light-curves/2-3-k2-pldcorrector.ipynb |
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# <a href="https://colab... | wambui_aurelia_core_week_6_assignment.ipynb |
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# # Philosophy
import this
# [PEP 8](https://www.pyt... | Further reading.ipynb |
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imp... | testzie/keras_rl_CartPole.ipynb |
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# # XGBoost Regression
# XGBoost stands for eXtreme G... | Regression_models/xgboost_implement.ipynb |
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# ## <center> Plotly isosurface, slices and caps <... | 14-Plotly-isosurface-slices-and-caps.ipynb |
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"""
Starter code for the regression mini-proje... | Lesson07_Regression/finance_regression.ipynb |
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impor... | notebooks/20181006.ipynb |
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# # 딥러닝의 미래
# - 이미지 스타일(화풍) 변환
# - 딥러닝을... | _notebooks/2022-02-23-dl.ipynb |
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// <h1>Table of Cont... | Learn_cpp/practice.ipynb |
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# # Facial Keypoint Detection
#
# ## Load and Visuali... | 1. Load and Visualize Data.ipynb |
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# in einem Set darf jeder Wert nu... | Python/zzz_training_challenge/UdemyPythonPro/Chapter4_Iterables/Sets/set.ipynb |
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from __future__ import absolute_import
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | ASHRAE - Great Energy Predictor III/Model/knn-model.ipynb |
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# # Recurrent Group-Testing as an alternative to Socia... | boqn/group_testing/notebooks/RecurrentGroupTesting.ipynb |
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... | 2019ML_Lab/Lab1/SGD.ipynb |
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# # Import libraries
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import nump... | All python files/1_7_Visualization.ipynb |
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# # Boston Housing Classificat... | solutions/boston_housing_classification_random_forest_solution.ipynb |
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#Create linear events
d,... | examples/POCS.ipynb |
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# # 来自变形金刚（BERT）的双向编码器表示
# :label:`sec_bert`
#
# 我们引入了几个单词嵌入模型来理解自然语言。训练前后，可以将输出视为矩阵，其中每一行都是表示预定义词汇的一个单词的矢量。事实上，这些... | d2l/chapter_natural-language-processing-pretraining/bert.ipynb |
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# Python for Bioinformatics
# ---------------------... | notebooks/Chapter 21 - Web Server for Multiple Alignment.ipynb |
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# + id="TKq7cP4Vx8TH" colab_type="code" colab={"base_uri": "https://localhost... | test-100.ipynb |
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# # Pycon Africa - Developing Maltego Transform Using ... | Getting Started.ipynb |
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# # Longitudinal Car Model
#
# > "Overview of longitud... | _notebooks/2021-04-10-longitudinal-vehicle-model.ipynb |
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# ##### Copyright 2018 The... | site/en/guide/ragged_tensor.ipynb |