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# # Sobel filter edge detection
#
# This project utili... | edge-detection-filter.ipynb |
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# # Now You Code 3: Area and Circumference
#
# In this... | content/lessons/05/Now-You-Code/NYC3-Area-Circumfrence.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 722} id="Zq6Y3CgY... | etapa2.ipynb |
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# name: python385jvsc74a57bd0ec04c10a3ef611ea2836b5ff833f0501e0dcfc8e0500f516ccda9246622a... | task2_EduardErnestPastorINM707/edu_task2Q.ipynb |
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# # Day 8 - building a simple image
#
# * https://adve... | 2019/Day 08.ipynb |
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# # Machine Learning for AI - Classifying Glass Types
... | AnaBazerque_MLAI_CA3.ipynb |
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import pandas as pd
import altair as alt
import unidec... | sandbox/distribution_maps/all_states_distmaps.ipynb |
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# +
import k3d
import numpy as np
iteration = 4
size ... | examples/Menger_sponge_clipping_planes.ipynb |
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# # More widget libraries
# There are several widget ... | jupyter_interactive_widgets/notebooks/10.00-More widget libraries.ipynb |
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# # Welcome to the LIGO data visualization tutorial... | Session9/Day3/LIGO_data_visualization.ipynb |
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# +
#Imports
import pandas as pd
from sqlalchemy impo... | notebooks/create_sqlite_table.ipynb |
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# + deletable=true editable=true
import numpy as np
im... | src/models/ensemble_XGBoost.ipynb |
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import numpy as np
import matplotlib.pyplot as... | data/data_plot.ipynb |
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# importing libraries
import numpy as np
import matplo... | Chapter01/Curve Fitting.ipynb |
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# # HDR
import numpy as np
import cv2
import random
#... | App/11-HDR.ipynb |
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/ + [markdown] cell_id="0da8ed73-bad3-4880-95c9-70ff5f4d38c2" deepnote_app_coordinates={"h": 5, "w": 12, "x": 0, "y": 12} tags=[]
/ # Introduct... | AutoXGB_tutorial.ipynb |
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# Import modules
import ndvi_algo
import snapp... | EnkelBandKalkMedSnappy.ipynb |
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# # Pymaceuticals Inc.
# +
# Dependencies and Setup
i... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # M... | python-parallel-map--lightning-talk.ipynb |
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import pandas
import glob
DATA_FILE_HOME="../data/"
F... | python/pandas-concat-demo.ipynb |
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# + [markdown] id="RZvR3zC9KXGZ"
# ##### Copyright 2020 The Cirq Developers
... | docs/tutorials/qaoa.ipynb |
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# + id="zX4Kg8DUTKWO" colab_type="code" colab={}
#@title Licensed under the A... | 3-Natural-Lanugage-Processing-in-TensorFlow/week1-sentiment-in-text/Course_3_Week_1_Lesson_3.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 00_quickstart/03_Visualize_Reviews_Dataset.ipynb |
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import os
import pandas as pd
import numpy as np
impor... | .ipynb_checkpoints/c_fos-checkpoint.ipynb |
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# ### 1) Make a request from the Forecast.io API for w... | 06/Homework_6_Emelike.ipynb |
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import sys, os, time
import numpy as np
# %matplotlib ... | stack.ipynb |
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# # Data Exploration Tutorial Activity
#
# In this ini... | exploring-data/data_exploration_tutorial.ipynb |
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# + [markdown] id="gaFpM1xf-9JC"
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# Author: **`<NAME>`**
#
# Date: **`20... | 09_NLP/06_POS_Tagging/02_BiLSTM_PTB_tags.ipynb |
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# + [markdown] id="NpXB3hUOpZwf"
# # 1. Manejo de datos usando Pandas
# + [m... | Manejo de datos.ipynb |
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# + id="Yln-wzDzE2XB"
import numpy as np
import pandas as pd
import matplotli... | train/Ph-CNN.ipynb |
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# +
# # !pip install SimPEG
# -
import numpy as np
im... | notebooks/Appendix_A_MT1D_Sensitivity.ipynb |
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# <img src="https://github.com/pmservice/ai-openscale-... | IBM Cloud/WML/notebooks/Misc/Configure subscription monitors using training statistics.ipynb |
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import numpy as np
from keras.models import Mo... | notebooks/layers/normalization/BatchNormalization.ipynb |
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# + [markdown] papermill={"duration": 0.016304, "end_t... | transform/spark-csv-to-parquet.ipynb |
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# +
count_two=0
count_three=0
import string
d = dict... | advent_of_code_2018/Day 02 aaabaaa.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="hxIWxeRYRWxT" outputId=... | Data P/Copy_of_Modeling.ipynb |
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# # Random Operators: examples of random states and channels
import numpy as np
from sympy.combinatorics import Permutation
import forest_ben... | examples/random_operators.ipynb |
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import os
fname = 'foo-bar.txt'
f=open(fname,'w')
o... | python3/notebooks/file-filesystem-manipulation/Untitled.ipynb |
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# + [markdown] colab_type="text" id="kz7GMf9fruXG"
# #... | Build Better Generative Adversarial Networks (GANs)/Week 3 - StyleGAN and Advancements/C2W3_Assignment.ipynb |
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# # Machine learning for medicine
# ## Linear Regre... | core/.ipynb_checkpoints/ML_Med_LinRegr_Basic-checkpoint.ipynb |
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# Dependencies
from bs4 import BeautifulSoup
from urll... | mission_to_mars.ipynb |
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# + [markdown] id="cThmy57aOSee"
# # Machine Learning with ScikitLearn using ... | 00 Perfect Guide to Python Machine Leanrning/02.4 ML with Sklearn - Iris dataset.ipynb |
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# # Курс «Введение в нейронные сети»
# ## Урок 1. Осн... | Lesson 1.ipynb |
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# # Udacity Data Science Nano Degree Blog Post
# ### ... | Udacity Data Science Nano Degree Blog Post.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | notebooks/Hello,_Colaboratory_test.ipynb |
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# # Using Keras Models in TF
# +
import tensorflow as... | Tensorflow/keras_models_in_tf.ipynb |
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import pandas as pd
from textblob import TextBlob
... | Sentimental Analysis/Cafes in CBD/Codes/(Expanded) Consolidated Sentimental Analysis.ipynb |
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# ## 3. Simulation
#
# <p> In previous chapter, I ge... | [Ridge&LASSO] 3&4_Simulation and Conclusion.ipynb |
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# # Python for Environmental Science Day 6
# ## Topics... | week_2/day_6_notebook.ipynb |
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# %pip install pika
# +
import pika
# +
credentia... | Publisher-RabbitMQ.ipynb |
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# <!--NAVIGATION-->
# < [More widget ... | notebooks/07.Mais-bibliotecas/07.01-ipycanvas.ipynb |
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# # FAVORITA COR... | NotebookWithKaggleSummary.ipynb |
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# # Incrementally saving sampling progress
# ### Can I... | demo5/Incrementally_saving_progress.ipynb |
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import pandas as pd
df_data = {'pais': ['Brasil', 'Ar... | 2019/02-python-bibliotecas-manipulacao-dados/Hands-on Pandas.ipynb |
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# # COVID-19 Data from Protezione Civile
# ### This no... | work/COVID-19_Plot.ipynb |
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# # True False Palindrome
# Given a string, determine ... | Daily/True False Palindrome.ipynb |
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# # LAB: Introdução a Pandas 1
# ## 1. Introdução
#
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# # Twitter Sentiment Analysis
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import numpy as np... | Real_time_Twitter_Sentiments.ipynb |
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# # Introduction
#
# In the previous t... | Introduction_to_Smoothing_student.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Week1_build_signals.ipynb |
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import pandas as pd
import matplotli... | codes/Untitled Folder/graph hbaic per person.ipynb |
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import pandas as pd
from pathlib import Path
from ... | notebooks/testing_RF_train15-skempiAB_FINAL.ipynb |
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# # Search for datasets coincident with a list of poin... | Part-II/02_arctic_insitu_pts/tutorial_02_for_demo.ipynb |
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# # Open Images Object Detection RVC 2020 edition
# ##... | Image Object Detection_google.ipynb |
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# # Premiers pas avec le langage Python
#
# Pour comme... | programmation_python/TP1.ipynb |
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import numpy as... | Resources/cnn_model.ipynb |
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# %pip install pingouin
import pandas as pd
import se... | 2021/Notebooks/Lab_Report_3_livecoding_linguistics.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | poisson_rank.ipynb |
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# # Nested Statements and Scope
#
# When you create a ... | [Self Help] Python/Notes - Learning Resources/Functions & Methods/[Notes] Nest Statements and Scope.ipynb |
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from bqplot import pyplot as plt
import ipywidgets as ... | samples/notebooks/V-Voila/voila-vuetify.ipynb |
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import numpy as np
import pandas as pd
from pa... | l7/Lecture 42 - Groupby on DataFrames.ipynb |
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import sys
import os
SOURCE_DIR = os.path.dirname... | test/test-transducer-multilanguage-eager.ipynb |
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# ## Data Manipulation with Pandas
# ### The Pandas S... | Pandas/notes pandas.ipynb |
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import sys
import numpy as np
import pandas as pd
... | source.ipynb |
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# ### Trying to match the lma grid with KTLX grid (gen... | notebooks/flashsort_per_KTLX_radxgrid.ipynb |
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# %load_ext autoreload
# %autoreload 2
import sys
sys.... | notebooks/understanding/Discriminative_Features.ipynb |
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# %pylab inline
from classy import *
import numpy as n... | examples/VR example.ipynb |
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# + [markdown] id="tCOWitsAS1EE"
# # Parallel Ev... | docs/jax-101/06-parallelism.ipynb |
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# ## BEHACOM dataset exploration
# ### Imports
# +
i... | BEHACOM/exploration.ipynb |
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# + [markdown] nbsphinx="hidden"
# This notebook is pa... | notebooks/fileio/wradlib_gis_export_example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Ash_asx_stock_returns_steps.ipynb |
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from __future__ import division
import pickle
impo... | 5.0-lander-ime.ipynb |
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# # toad使用教程
#
# toad是针对工业届建模而开发的工具包，针对风险评分卡的建模有针对性的功能... | docs/source/tutorial_chinese.ipynb |
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# ## Equations
#
# Find the derivative with respect to... | study-guides/Certificate-in-AI/Derivatives.ipynb |
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# ****************************************************... | Notebooks/Launch K-CHAIN Service.ipynb |
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# + [markdown] colab_type="text" id="nCc3XZEyG3XV"
# L... | module1-define-ml-problems/LS_DS_231_assignment.ipynb |
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import torch
from torchvision import datas... | ImageAnalysis/BU_Snippets/Untitled.ipynb |
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# + [markdown] id="GWEKvPCCxJke" colab_type="text"
# ##### Copyright 2019 The... | docs/tutorials/image_ops.ipynb |
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# + [markdown] deletable=true editable=true
# Back to ... | examples/notebooks/core/combineExample.ipynb |
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import altair as alt
# # Scatterplot Matrix mit Toolt... | demos/Scatterplot Matrix.ipynb |
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# Adopted from GDELT Data Wrangle by <NAME> https://nb... | Session 6/gdelt_example.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Learn Math/3. Linear Algebra/3.12 Example - Principal Components Analysis/3.12 Example - Principal Components Analysis.ipynb |
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import pandas as pd
import pylab as pl
import numpy as... | Logistic_Regression.ipynb |
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# Global imports
# %matplotlib inline
# %load_ext ... | analysis/Connectivity Analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | autompg_linearregression_service.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# ... | Proyecto2.1_Transcalor.ipynb |
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# # I... | plot_missing_values.ipynb |
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# ## EKS 환경 설정
#
# 아래 노트북은 원본 노트북에 설명을 추가 하... | Tweet-BERT/install_EKS_Kubeflow/00_01_Configure_Environment.ipynb |
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# # Twitter Data Sentiment Analysis
# ### Link for st... | Sentiment Analysis 1.ipynb |
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# %matplotlib inline
import numpy as np
import pandas... | .ipynb_checkpoints/aggregator-checkpoint 13.ipynb |