code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# Create v3 client object
from watson_machine_learning... | cloud/notebooks/python_sdk/migration/v3_to_v4ga_cloud_assets_migration_sample.ipynb |
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x=10
y=20
z=x+y
print(z)
x="India is my Country"
x[... | My revision1.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | notebooks/.ipynb_checkpoints/domain_test-checkpoint.ipynb |
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# + [markdown] id="MClslDBOi199" colab_type="text"
# # Desafios
# + [markdow... | aula-04/Copy of Desafio aula04.ipynb |
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# # Data Science, Tirgul 1
# ## Smaller
# ### Great p... | tirgul1.ipynb |
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x = 42
type(x)
print(x)
pi = 3.14159
pi
type(pi)
... | notebooks/plotExamples/Untitled.ipynb |
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import matplotlib
matplotlib.use("nbagg")
import ... | section_robot/ideal_robot5.ipynb |
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# ## Observations and Insights
#
# +
# Dependencies... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | xgboost_debugger_demo.ipynb |
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# # Prepare the Data
import pandas as pd
import numpy... | solutions/HW3_Solutions.ipynb |
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# # Fire up graphlab create
import graphlab
# # Load... | Predicting House Prices.ipynb |
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# # Hamiltonian MCMC demo
#
# Hamiltonian Monte-Carlo ... | demos/hamiltonian_mcmc_demo.ipynb |
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import pandas as pd
data_frame = pd.read_csv("dataset... | svc_predictor.ipynb |
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import sys
sys.path.append('..')
sys.path
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from mo... | ipynb/pipeline.ipynb |
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# # Predicting movie's IMDB rating
import numpy as n... | imdb_rating.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LEARNING_PYTORCH_WITH_EXAMPLES5.ipynb |
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# ## underfit-overfit
# Interpretation by linear regr... | underfit-overfit-regularization-dropout.ipynb |
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# # Exercises
# ## import
# +
# #!/usr/bin/env python... | exercise/Exercises 01-09.ipynb |
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# # Computer Vision Project
from scipy.spatial import... | blackJack.ipynb |
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# # Лабораторная работа по машинному обучению
#
#
# За... | ML_final_ver_another_data_.ipynb |
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# ### KMeans Clustering of Netflix Movie Data
#
# Pro... | notebooks/netflixstudyEDAv3.ipynb |
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# +
import warnings
warnings.filterwarnings('igno... | metatlas/interfaces/compounds/not_used/Get compounds from public databases.ipynb |
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# # CycleGAN model
#
# > Defines the CycleGAN model ar... | nbs/01_models.cyclegan.ipynb |
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# ## PyTorch Linear Regression
# Author: <b> <NAME></... | Basic 2 Pytorch Linear Regression.ipynb |
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# ### Plot # of sets (log scale)
# +
unitsnow = '[log... | python/figure_notebooks/suppfig1.ipynb |
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# # Statistical Downscaling and Bias-Adjus... | docs/notebooks/sdba.ipynb |
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import numpy as np
data_points = np.array([
[1, 1]... | Exercise03/Exercise03.ipynb |
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# ## Word Count - Pinot wines
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# +
import pandas... | discarded ideas/data/dashboard_pinot-details/wordcounts.ipynb |
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import tensorflow as tf
import numpy as np
import matp... | 3-1simple non-linear regression.ipynb |
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# + [markdown] id="A--hJ0bCbK-p"
# # Git command execution in colab
# Google ... | github_command_execution.ipynb |
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# # 3章 集約
# データの価値を大きく損失せずに、分析の単位を変更できる
#
# ## 3-1 データ... | udoooom/python/3.ipynb |
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# # Tutorial 6: Caesium-133 D Line
# Caesium is a hea... | docs/source/tutorials/Tutorial6-Caesium133DLine.ipynb |
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import matplotlib.pyplot as plt
from matplotlib import... | ref_code/1get_pdb_structure_lowercase-v2_seq+1.ipynb |
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# # Formatting Plots
#
# ## About the Data
# In this n... | ch_06/2-formatting_plots.ipynb |
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# ## Softmax
# : 주로 분류(Classification)문제에서 사용되는 함수
# $... | DeepLearning_from_the_bottom/3.Softmax.ipynb |
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# Ex1
import numpy as np
import matplotlib.pyplot as ... | TP3.ipynb |
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import pathlib
import os
import pandas as pd ... | src/support/notebooks/desc_pipeline.ipynb |
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# # Sistemas Inteligentes
#
# ## Laboratório 2 - Class... | limitadas/sistemas-inteligentes/RICARDO SUYAMA com LUNEQUE JUNIOR e TITO CACO/q3-2018/lab2/.ipynb_checkpoints/Lab_2-checkpoint.ipynb |
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# # Number of Discordant Pairs Country
#
# Discordant ... | codes/old-experiments/RQ1-BTC-Occupation.ipynb |
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#hide
# %load_ext autoreload
# %autoreload 2
from dee... | nbs/E2_Track1fromN.ipynb |
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import os
import pandas as pd
import ... | metatlas/interfaces/compounds/write_pubchem_info_to_file.ipynb |
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import pandas as pd
# # Basic DataFrame manipulation
... | code/codegraf/009/009a.ipynb |
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# + [markdown] id="2iOggnzMbOGl" colab_type="text"
# # Pre-processing and ana... | docs/tutorials/kb_species_mixing/python/kb_species_mixing.ipynb |
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from sklearn.feature_extraction.text import CountVecto... | 40437535/BoW_KNN.ipynb |
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# + id="hKSOePcsFseP"
from PIL import Image
import num... | Chapter01/Chapter1_hamming_distance.ipynb |
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from __future__ import print_function
import numpy
imp... | Notebooks/fileDBObject.ipynb |
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# # Cheat Sheet: Writing Python 2-3 compatible code
#... | docs/notebooks/Writing Python 2-3 compatible code.ipynb |
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# # **관악구 동네 이야기**
# 1. 데이터 불러오기
# 1. 주소를 바탕으로 위도, 경도 ... | jupyters/at1_pandas.ipynb |
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### we start with the liar dataset
import numpy a... | models/CNN/TFIDF/TFIDF.ipynb |
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# # Long Text Sentiment
#
# So far, we have restricted the length... | course/language_classification/03_long_text_sentiment.ipynb |
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import psycopg2 as pg
import pandas as pd
# Credentia... | pa004.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | lab/Lab 03 - Polynomial Fitting.ipynb |
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# # Testing different embedding schemes for informat... | notebooks/Exploratory_notebook.ipynb |
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# + id="Jr4cugH3mZ_X" colab={"base_uri": "https://localhost:8080/", "height":... | LSTM_IMDB.ipynb |
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# # Here we ... | 25_Aug_2018/Python_Basics.ipynb |
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# # Results for PCA+LSTM
#
#
# +
# %load_ext autorelo... | gdf_pca/pca_gru_overview.ipynb |
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# # Otimização
# ## Introdução
#
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# %matplotlib inline
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# Introduction to PyTorch
# **... | pytorch_tutorials/pytorch_tutorial_NLP1.ipynb |
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# Update sklearn to p... | starter_code/.ipynb_checkpoints/model_1-checkpoint.ipynb |
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# # Improvise a Jazz Solo with an LSTM Network
#
# Wel... | 05.Sequence_Models/Week1/Jazz improvisation with LSTM/Improvise_a_Jazz_Solo_with_an_LSTM_Network_v3a.ipynb |
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"""
jupyter-nbconvert report_ttcs.ipynb --to python; p... | code/ppo/report_ttcs.ipynb |
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# # 3.2 线性回归的从零开始实现
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import t... | code/chapter03_DL-basics/3.2_linear-regression-scratch.ipynb |
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import pandas as pd
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import experime... | scripts/load_convert.ipynb |
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# %reset
import sys, platform, os
import numpy as ... | 3d_to_2d/3d_to_2d_new_fftlog.ipynb |
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# # Report
#
# Summary your findings and motivate your... | lab3_Classification/Report.ipynb |
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# # Introduction to the Spatially Enabled DataFrame
#
... | guide/05-working-with-the-spatially-enabled-dataframe/introduction-to-the-spatially-enabled-dataframe.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import pandas as pd
import re
data = pd.read_excel('... | state_budget/assam/exploration/Assam CSV Audit.ipynb |
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# # Region & Domain
# Germany, European Union
# Sports... | plotting/Assignment 4.ipynb |
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import os.path as osp
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# + [markdown] chapterId="Hy8l_RQWlbz" id="chapter_nam... | notebooks/ShinsouGakushu_sample/Chapter9_Sample.ipynb |
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# # Annotation tool to correct predicted segmentation... | notebooks/applications/2D_annotator_TIF_OVR.ipynb |
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import re
import pdfplumber
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DATE_STR... | data/source/or_data/extract_conjugate/read_conjugate_0414.ipynb |
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# # <img src="https://img.icons8.com/dusk/64/000000/ar... | ee046202_tutorial_07_deep_learn_pytorch_ae.ipynb |
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# **WARNING**: Do not commit this file to GitHub if it... | examples/detection/yolo.ipynb |
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# 
# ___... | Ch10/10_02/10_02.ipynb |
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# <img style="float: center;" src="images/CI_horizonta... | notebooks_business_vitality/week_1/day_2/3_1_Data_Visualization.ipynb |
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# # Ищем мусор на побережье Камчатки по фоткам с дрона... | model_training/train_detectron.ipynb |
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# ### Import Module
import tensorflow as ... | code-colab/Tensorflow - Enhancing Vision with CNN(Fashion MNIST).ipynb |
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# %%time
import ... | ML/sagemaker/sagemaker_deploy.ipynb |
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# 查看当前挂载的数据集目录, 该目录下... | PALM-05.ipynb |
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# # Create an artificial neural network for the hmda d... | notebooks/hmda_ann.ipynb |
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# Below is a table schema for a P2P messaging appl... | interviewq_exercises/q004_pandas_p2p_msg_senders.ipynb |
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# # Use Tensorflow to recognize hand-written digits ... | cpd3.5/notebooks/python_sdk/deployments/tensorflow/Use Tensorflow to recognize hand-written digits.ipynb |
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# # COVID-19 growth analysis
#
# (c) 2020, [<NAME>](ht... | notebooks/covid19_growth_for_sa.ipynb |
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# ## Visua... | notebooks/interactive.ipynb |
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import pandas as pd
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datadf = p... | notebooks/Untitled8.ipynb |
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# # The perihelion motion of Mercury - Base solution
#... | ipynb-scripts/template.ipynb |
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from keras.preprocessing import image
from keras.prepr... | furniture/model-xception.ipynb |
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# # 圧縮と解凍をサクッとやる
#
import zlib
import gzip
import bz2... | 20180209_zip/compress.ipynb |
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# Adding the Aima-Python folder to the folder
imp... | Assignments/Assignment 1/Assignment 1.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python-v3/advanced/latex/latex-typesetting.ipynb |
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# + [markdown] id="rKkRpKUF3Th6"
# # Stein's Paradox
# + [markdown] id="NXvB... | _notebooks/2022-01-23-stein.ipynb |
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# # 2D map fitting
#
# ## Prerequisites:
# - To under... | docs/tutorials/analysis/2D/modeling_2D.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tutorial_3_JAX_Neural_Network_from_Scratch_Colab.ipynb |