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from collections import OrderedDict
ordere... | notebooks/collections.OrderedDict.ipynb |
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# # Stocking rental bikes
#
# 
# language: python
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# # Simulation of XYZ spin models using Fl... | tutorials/quantum_simulation/Microwave-engineering of programmable XXZ Hamiltonians in arrays of Rydberg atoms.ipynb |
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# + [markdown] slideshow={"slide_type": "-... | chapter_04_multilayer-perceptrons/6_numerical-stability-and-init.ipynb |
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# # Building the various models
# ### Logistic Regres... | 05BuildingModel_LR.ipynb |
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# + dotnet_interactive={"language": "csharp"}
# !p... | notebooks/onnxinference.ipynb |
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# In diesem Tutorial beschäftigen Sie sich anhand eine... | 2_4_overfitting_underfitting/2_2_Aufgabe - Overfitting - Underfitting - Solution.ipynb |
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# + [markdown] run_control={"frozen": false, "read_onl... | ipynb/scratchpad/pelt-error/pelt-error.ipynb |
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# # Python Basics
# ## Zahlen und Rechenarten
# +
pr... | Pandas_Vorbereitungen/Python Einstieg Spickzettel.ipynb |
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# # September 2021 Challenge: Mentorship Program Scree... | challenge-2021.09-sep/challenge-2021.09-sep.ipynb |
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# GET
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import requests
resp = requests.request('g... | week1/20190502_Cookie_Session.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | run_eqtransformer.ipynb |
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# + id="fZ2OoqbpTzYq" colab_type="code" outputId="d44e... | Create New Dataset.ipynb |
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# # Indice de contenido
#
# 00. [Introduccion tensorfl... | notebooks/02_Machine_Learning/Teoric/000_Indice.ipynb |
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# # Pandas Visualization
import numpy as np
import pa... | notebooks/pandas visualization.ipynb |
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# # Basics of logistic regression
# ## Import the rel... | notebooks/Admittance - Logistic regression.ipynb |
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# <font size=-1>Licensed under the Apache License, Ver... | archive/04-deploy-run-flex-template.ipynb |
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# # ***Introduction to Radar Using Python and MATLAB**... | jupyter/Chapter07/right_circular_cone.ipynb |
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# ### Finder chart for 2-min TESS Sector 1 observation... | mkpy3/docs/source/tutorials/nb_tess_finder_chart_cd_ind.ipynb |
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# hash: b035f594501fd99b0ba4fdbf39dd3ef4592c3539... | module2/s2_explore.ipynb |
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# # Name - <NAME>
# # To explore supervised machine l... | Task-2/Task-2.ipynb |
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# + [markdown] id="mMXNP3wZm7gf"
# # Files
#
# * **Text** files are a sequenc... | lectures/Chap9-File-I_O.ipynb |
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import cv2
import time
import numpy as np
from ker... | live.ipynb |
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# # Evalu... | analysis/pp_clm_evaluate_runoff_paperplot.ipynb |
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# <a href="https://colab.research.go... | assignments/assignment_yourname_class7.ipynb |
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# # `Matplotlib` 作业
# ## 1. 绘制如下动画
#
# 
# !ls
os.chdir('lc-quad'... | knowledgeGraph/notebooks/entities_from_graphs.ipynb |
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import matplotlib.pyplot as plt
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im... | notebooks/SCW-1-auto-class-display.ipynb |
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# # Lesson 02 - Policy and Ethics of ... | udacity_data_science_notes/abTesting/lesson_02/lesson_02.ipynb |
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import pandas as pd
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from matplotlib... | House-Price-Prediction/code/Another_file/banglore_home_prices_final.ipynb |
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import query_helpers
from pathlib import PurePath
from raster_compare.base import RasterFile
import os
import numpy as np
import pandas a... | notebooks/Resolution_difference-3m.ipynb |
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#Jupyter Imports
import pandas as pd
import janitor
fr... | .ipynb_checkpoints/Main-checkpoint.ipynb |
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# %matplotlib inl... | SQL_Alchemy_Challenge.ipynb |
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# + [markdown] id="jgnQr_k9zqe_"
# ## A Visual History... | History-of-Interpretation.ipynb |
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# <h1>ANOVOS - Data Transformer<span class="tocSkip"><... | examples/notebooks/data_transformer.ipynb |
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# # Mumax projection
# %gui qt
# %matplotlib qt
from ... | examples/mumax_projection.ipynb |
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... | notebooks_old/drought/1.1_drought_features.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # H... | PCAvsDVAE.ipynb |
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# ### Note
# * In... | HeroesOfPymoli_game_analysis.ipynb |
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import numpy as np, pandas as pd
from matp... | WISE/code/old/blue_features_clustering.ipynb |
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# # Multi-Variable Linear Regression
# In this documen... | Supervised_Learning/Linear_Regression/Multi_Linear_Regression.ipynb |
// -*- coding: utf-8 -*-
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#include <iostream>
... | notebooks/CitanjePoBlokovima.ipynb |
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import os
import sys
sys.path.append('../../..')
... | models/notebooks/FFNN/04-FFNN_with_pickle_comment.ipynb |
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import numpy as np
import matplotlib.pyplot as p... | simple_LR.ipynb |
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# Configs
label_name = "math"
embeddi... | prototype/dtree/DecisionTree.ipynb |
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# %%capture
from tqdm import tqdm_notebook as tqdm... | polygonIO_python/trades_quotes/data_manipulate/data_manipulator.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | mnist_cnn_use_keras.ipynb |
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# + id="Yp1QzZA2FqrR" colab_type="code" colab={} executionInfo={"status": "ok... | Figure.ipynb |
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# ## Explore feature-to-feature relationships in breas... | examples/example_breast_cancer_feature_relationships.ipynb |
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# + [markdown] colab_type="text" id="MykPt6jzs6vF"
# #... | Codes/Team 21/uas4t_tl_team-revised.ipynb |
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# # Deterministic Terms in Time Series Models
# +
imp... | v0.12.2/examples/notebooks/generated/deterministics.ipynb |
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# + [markdown] nbpr... | 21-DimReduction/21-DimReduction.ipynb |
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from sklearn.datasets import load_digits
#读取数据集。... | Chapter_5/.ipynb_checkpoints/Section_5.5.2.3-checkpoint.ipynb |
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# # 202 Variable
#
# View more, visit my tutorial page... | tutorial-contents-notebooks/202_variable.ipynb |
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# ## Near State-of-the-Art results at Object R... | Section 10 - Object+Recognition/Object Recognition/Object Recognition (Jupyter Notebook).ipynb |
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# # Pythagorean Triplet
#
# A Pythagorean triplet ... | exercises/pythagorean-triplet/pythagorean-triplet.ipynb |
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# "Geo Data Science with Python"
# ### Notebook Exerc... | Exercise04d_Files.ipynb |
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# # Density Panel
# Author(s) <NAME> | July 17, 2019
#... | density_panel.ipynb |
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# # 可视化餐厅消费数据
# This time we are going to pull data d... | 07_Visualization/Chipotle/Exercise_with_Solutions.ipynb |
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# layout: post
# title: "[ISS 세미나] 세종국책연구단지에 딥러닝 모델 심기"
# author: 김태영
# date: 2018-05-16 14:00:00
# categories: seminar
# comments: true
# image: http://tykimos.github.io/warehouse/2018-5-16-ISS_Plant_DeepLearning_Model_in_SNRC_title1.png
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# # Binary Classification using Convolutional Neural N... | jupyter-notebook/binary_classifier.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Python_CoderDojo09.ipynb |
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# ## VGGNet
# vggNet 是第一个真正意义上的深层网络结构,其是 ImageNet2014年... | 05.卷积神经网络(进阶)/11.vgg download/vgg.ipynb |
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# # `pandas` Part 3: Descriptive Analytics with `panda... | Week 10/Pandas_Part3_SummaryFunctions_Student.ipynb |
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# # Parse .txt files and insert in databases
# The lyr... | notebooks/lyrizz/insert_database_lyrics.ipynb |
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# # [Image Classification](https://www.tensorflow.org/... | TensorFlow/Image/tensorflow-tutorial-image-classification.ipynb |
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#import dependencies
import pandas as pd
import numpy ... | .ipynb_checkpoints/data_engineering-checkpoint.ipynb |
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import math
import fresnel
import fre... | analysis/general_analysis.ipynb |
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##DESCRIPTION
# This notebook calculates the so called "Polygons" to des... | toolchain/notebooks/Domain metric.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Chapter04/Chapter_4_CNN_smile_detector.ipynb |
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# # Tutorial Part 18: Using Reinforcement Learning to ... | examples/tutorials/18_Using_Reinforcement_Learning_to_Play_Pong.ipynb |
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# %matplotlib inline
#
# # Multiview KMeans Tutorial
... | _downloads/1562db42342dd4908150887ff723b410/plot_mv_kmeans_tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] cell_tags=[]
# ## 4 - Fazendo Escolhas
... | Aulas/1/04-cond.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <p ... | RMSSEPM Presentation 2020.ipynb |
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# # Asset Classification (Supervised)
# ## Authors
# ... | notebooks/network_mapping/Asset_Classification_Supervised.ipynb |
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# ## graph creation notebook
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fr... | graph_nx_for_web.ipynb |
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#imports
import numpy as np
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# # Full Stack Deep Learning Notes - Lecture 02
# > Le... | _notebooks/2021-03-29-full-stack-deep-learning-lecture-02-CNN.ipynb |
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# + [markdown] id="mtcrb1VaDPIA"
# # Chapter4 畳み込みニューラルネットワークを学ぶ ~画像分類プログラムを作... | Google_Colaboratory/Chapter4/Section4-3.ipynb |
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# +
# %pylab inline
import matplotlib.pyplot as plt
im... | tasks/bank/model_dev/CreateModel.ipynb |
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# + id="sJZZ9hNj7Ys1" colab_type="code" outputId="cebd2740-ec3d-47a1-c826-fa8... | experiments/RESNET_34_60_adam.ipynb |
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# ### Pasos a seguir en el proceso de 'scraping':
#
# 1. Encuentr... | BeautifulSoup/exercises/labirratorium_task.ipynb |
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import os
import pickle
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# + [markdown] id="7SN5USFEIIK3"
# # **Word embeddings**
# + [markdown] id="... | 41_Word_Embeddings/41_Word_Embeddings.ipynb |
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# # Connected Components
#
# In this notebook, we will... | cugraph/components/ConnectedComponents.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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