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# # File Handling
# %%writefile test.txt
Hi, the file... | FileHandling.ipynb |
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# # Import Modules
import numpy as np
import matplotl... | 1. Data Preprocessing/1_data_preprocessing_tools.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | archive/Katie-Second-Order-3_1_debug_meta_update-debug.ipynb |
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# # Association Rules Exercise
#
# ## Q1
#
# In the first exercise, use ... | Lab 2 - Association Rules/Exercise.ipynb |
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# # With the RDS Library
# ---
# RDS provides you wit... | covid_notebook/covid_19.ipynb |
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# # PyTorch Cifar10 l... | sagemaker-python-sdk/pytorch_cnn_cifar10/pytorch_local_mode_cifar10.ipynb |
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import pandas as pd
df = pd.read_csv('train.csv')
df... | Untitled.ipynb |
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# # Graph representation learning through Unsupervised... | demos/embeddings/embeddings-unsupervised-graphsage-cora.ipynb |
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from astropy.coordinates import (CartesianRepresen... | fleck_linalg.ipynb |
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import os
from os import listdir
from os.path impo... | stm_dataset.ipynb |
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# + [markdown] colab_type="text"
# # Understanding mas... | tensorflow_learning/tf2/notebooks/.ipynb_checkpoints/understanding_masking_and_padding-checkpoint.ipynb |
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# <center>
# <img src="../../img/ods_stickers.jpg">
# ... | jupyter_russian/projects_individual/project_text-analysis-with-BigARTM_ldinka.ipynb |
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# # Combining measurements
#
# When we do a fit, we ca... | guides/constraints_simultaneous_fit_discovery_splot.ipynb |
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import os
import argparse
import json
import shutil
import... | .ipynb_checkpoints/debug-trial-1-checkpoint.ipynb |
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# # 14. Decision Trees
#
# [![Open In Cola... | Notebooks/14.DecisionTrees_OneHoteEncoder.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Numpy.ipynb |
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# Comment out these lines
import sys
sys.path.inse... | Notebooks/BitFlip.ipynb |
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# + [markdown] id="37puETfgRzzg"
# # Data Preprocessing Tools
# + [markdown]... | Copy of data_preprocessing_tools.ipynb |
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# ### Kalman Filter SIR
# *Why* - <NAME>'s model req... | .ipynb_checkpoints/kfsir-checkpoint.ipynb |
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import pandas as pd
import numpy as np
from sklearn im... | Data Science-1 - Air Quality/air_quality.ipynb |
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# # signac - PyData Ann Arbor Meetup 2018
# ## Integr... | integration/Integration.ipynb |
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import pandas as pd
def read_questions_to_df():
... | test-notebook.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ### Data... | docs/demo/GCP/Mortgage-ETL-GPU.ipynb |
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# # Kernel Density Estimator(KDE)
# 使用高斯核函数估计样本的概率分布:... | base/kde/toy_kde.ipynb |
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import brainlit
from brainlit.utils.ngl_pipeline impor... | docs/archive/uploading_brains.ipynb |
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from bs4 import BeautifulSoup
import requests
... | mission_to_mars.ipynb |
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# # Inception
# Also known as GoogLeNet , it is a 22-... | Diffrent CNN/Inception.ipynb |
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# <b>Calule a derivada da função dada. Simplifique as ... | Problemas 2.2/14.ipynb |
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# <font style="font-size:96px; font-weight:bolder; col... | mSubCube.ipynb |
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# ### Increasing accuracy for LL fault detection
# +... | .ipynb_checkpoints/LL_Phase_2-checkpoint.ipynb |
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# # 07 Gradient descent
#
# Part of ["Introduction to ... | 07_Gradient_descent.ipynb |
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"""
IMPORTING LIBS
"""
import dgl
import nump... | EA/visualize_attention_Baseline.ipynb |
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# # Setup and Imports
import pandas as pd
import nump... | FastText Models.ipynb |
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# name: python38364bitnlpkor2venvd6ba932570e... | preprocess_departments.ipynb |
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import random,math
def sqrt_number():
m = int... | chapter2/homework/computer/4-5/201611680805.ipynb |
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import os
import pandas as pd
df = pd.read_table("/h... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import os
project_path = "C:/workspace/Bus Project"
os... | main/2. 체류시간 분석/3. 체류시간 추출.ipynb |
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import pandas as pd
import numpy as np
from chromwindo... | example.ipynb |
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# 학습목표
#
# 다항 선형 회귀(Multivariable Linear regression)에 ... | Lab-04-1 Multivariable Linear regression.ipynb |
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# # 演習2 - ショアのアルゴリズム
#
# # 歴史的背景
#
# 多くの計算問題は、入力問題の大きさ... | solutions by participants/ex2/ex2-ja-AyumuShiraishi-6cnot.ipynb |
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import requests
from bs4 import BeautifulSoup
from tqd... | notebook/data web scraping/Web Scraping.ipynb |
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# # Import Libraries
import numpy as np
import pandas... | Stock price Prediction.ipynb |
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import pandas as pd
from database.market i... | versions/v0/application_financial_categorization.ipynb |
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# + [markdown] id="38m2CqLbPCk2"
# ## Learning SMACH
#... | notebook/LoCoBot/smach_pyrobot.ipynb |
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# # Install Package
# !pip instal... | Notebooks/Example.ipynb |
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import pandas as pd
from datetime import datetime
from... | code/extraction/ValidateSubtitles.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"} toc-h... | santander_customer_satisfaction/santander_customer_satisfaction.ipynb |
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# # String Formatting
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# ## Old Way
# strings
'... | Python/References/StringFormatting.ipynb |
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# + [markdown] colab_type="text" id="Y3Diy0OEOQWX"
# #... | Data-Analysis.ipynb |
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import datetime
import rabbitpy
# Connect to the defa... | notebooks/4.1.2 Handling Basic.Return.ipynb |
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# # HappyPlane Problem from RL point of View
# ## Ran... | src/main/PlaneEnv.ipynb |
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import torch
import torch.nn as nn
import numpy as... | notebooks/mm-pfs.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotlib i... | jupyter_notebooks/Test_BERT_Trainer.ipynb |
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# Import the libraries
import numpy as np
import panda... | Breast Cancer Detection_SVM_KNN/Breast_Cancer Detection_SVM_KNN.ipynb |
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# + id="0q2xE5tMYBKo" colab_type="code" colab={"base_uri": "https://localhost... | day4.ipynb |
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# Recommender system ... | 09_recommender_systems.ipynb |
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# # Introduction to Linear Programming with PuLP
#
# #... | docs/source/CLP/libraries/Python PuLP Tutorial.ipynb |
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# # Creacion Panel con data de Cortes de Apelaciones
... | reports/01_reports.ipynb |
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# # Urban morphometrics
#
# Morpohometric assessment m... | docs/_sources/measuring/morphometrics.ipynb |
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# # PAN - Atribuição Autoral - 2018 - Modelo Char
#
#
... | 2019/PAN_AA_2018-char.ipynb |
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import math
import numpy as np
import pandas as pd... | .ipynb_checkpoints/Gene_expression_Gillespie-checkpoint.ipynb |
# # The framework and why do we need it
#
# In the previous notebooks, we introduce some concepts regarding the
# evaluation of predictive models. While this section could be slightly
# redundant, we intend to go into details into the cross-validation framework.
#
# Before we dive in, let's linger on the reasons for al... | notebooks/cross_validation_train_test.ipynb |
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import pandas as pd
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import os
impor... | 17-Analysis-Notebooks/New_York_Early_Warning_v4.ipynb |
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# # **Grouping based on Geo Data**
# 37명 4개씩 상점 분할하기
#... | jupyters/at3_folium01.ipynb |
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# # Language Detection
# Semesterarbeit CAS **Practic... | reports/Visualization.ipynb |
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co... | implementation strategies.ipynb |
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// # The PolyMath Computer proof
/... | polymath.ipynb |
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# +
import numpy as np
import pandas as pd
table = pd.read_csv('/home/sofya/... | Machine-Learning-2021/project4/data_quality.ipynb |
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from sklearn import tree
from sklearn import datasets
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import pandas
reldf=pandas.read_excel("./RawData/Relat... | SheetGraph.ipynb |
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from collections import defaultdict
import time
im... | 01-intro/deep-cbow.ipynb |
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# # Regularized Regression: L$_1$ and L$_2... | code/regularization_techniques_l1_l2.ipynb |
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# # <NAME>
import ipywidgets as widgets # ... | dev/widget_example.ipynb |
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# # 线性回归的简洁实现
# :label:`sec_linear_concise`
#
# 在过去的几年里，出于对深度学习强烈的兴趣，
# 许多公司、学者和业余爱好者开发了各种成熟的开源框架。
# 这些框架可以自动化基于梯度... | d2l/tensorflow/chapter_linear-networks/linear-regression-concise.ipynb |
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# + colab={"base_uri": "https... | 01.neural_network.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# ## HTML post-process
#
# `Typora` generates an HTML ... | notebooks/html-post-process-css.ipynb |
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# # Examples
import sys
sys.path.append("../")
from ... | examples/usage.ipynb |
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# ## Setup
# !git clone https://github.com/sithu31296/semantic-se... | tutorial.ipynb |
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# name: python385jvsc74a57bd031f2aee4e71d21fbe5cf8b01ff0e069b9275f... | src/EnsembleVoteClassifier/.ipynb_checkpoints/lgbm-graph-checkpoint.ipynb |
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import socket
import dask
import dask_cudf
... | the_archive/archived_rapids_blog_notebooks/azureml/rapids/nyctaxi_demo.ipynb |
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# <b> <font size = 5> Intersection count and distance ... | Notebooks/OSM-Traffic-Data.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | nlp_demo_riva/riva/nb_demo_speech_api.ipynb |
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# # Mask R-CNN - Inspect Balloon Training Data
#
# Ins... | samples/balloon/inspect_balloon_data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Spotify_Music_Recommendation_with_LightGCN.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> Path Element</dd>
#... | examples/reference/elements/matplotlib/Path.ipynb |
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# # Speeding up the solvers
# This notebook contains ... | examples/notebooks/speed-up-solver.ipynb |
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df = pd.read_csv('./data/tesco.csv... | .ipynb_checkpoints/mod06-checkpoint.ipynb |
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# #### Import Depen... | Missions_to_Mars/.ipynb_checkpoints/mars2-checkpoint.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | application_model_zoo/Example - Document Layout Analysis (FasterRCNN).ipynb |
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# + deletable=true editable=true
import sys
sys.path.a... | notebooks/.ipynb_checkpoints/fig1-checkpoint.ipynb |
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# <i>Copyright (c) Microsoft Corpora... | examples/00_quick_start/als_movielens.ipynb |
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# # Watch Me Code 1: Requests
#
import requests
url ... | lessons/10-http/WMC1-Requests.ipynb |