code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import os
from os.path import join
import copy
imp... | Clustering.ipynb |
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# ## Machine learning models
#
# - Logistic Regressio... | code/KNN_model.ipynb |
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# + id="g8P-FkcO3ibi" colab_type="code" colab={}
#from... | analysis_book.ipynb |
# -*- coding: utf-8 -*-
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; ls
using InstantiateFro... | Gettingstarted_introductoryexamples.ipynb |
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# ## Crypto Arbitrage
#
# #### This application consid... | crypto_arbitrage.ipynb |
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import time
import requests
# parameters for the... | day14/warm-up-day-14-ex3-solution.ipynb |
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# + id="igMyGnjE9hEp"
import csv
import numpy as np
i... | keypoint_classification_EN.ipynb |
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import pandas as pd
import numpy as np
#this is for d... | notebooks/1.0-bitcoin-dataset-simple-cleaning-example.ipynb |
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import numpy as np
import pandas as pd
import matp... | scripts/Validation.ipynb |
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# # Lab 10
#
# ## Continuing Seaborn
# We'll finish up... | labs/lab10.ipynb |
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# # Square Gradient Theory for Pure Components
#
# Thi... | examples/9. Square Gradient Theory for pure fluids.ipynb |
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# # Issues of Scale
# ## HDF5 - The Why and How
# S... | notebooks/05-hdf5.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # ะ... | lectures/lecture3/lecture3.ipynb |
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# # 1.9 Hangman
import pandas as pd
import string
# ... | content/project/hangman/hw1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Q15_10.ipynb |
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# # Investigate spatial outliers
#
# We ta... | notebooks/004_fingerprints/001_remove_spatial_outliers.ipynb |
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# hash: e4ca8d5dec42b1de1a9f7159771... | notebooks/poster-wordcloud.ipynb |
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# + [markdown] nbsphinx="hidden"
# # Continuous Signal... | continuous_signals/operations.ipynb |
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import pandas as pd
import numpy as np
from pathlib im... | .ipynb_checkpoints/01_fpl_predict_baseline-checkpoint.ipynb |
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# # Dรฉtection automatique d'erreurs d'OCR
... | module6/s2_fuzzy_matching.ipynb |
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# Boto3 SageMaker Invoke Endpoint
# This example s... | IntegrationExamples/.ipynb_checkpoints/invoke_using_boto3-checkpoint.ipynb |
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# # SVM with sigmoid kernel
#
# The goal of this noteb... | queue_imbalance/svm/svm_sigmoid.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | matplotlib/04.06-Customizing-Legends.ipynb |
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# # Sphinx Algorithm Explained
# > Explaining how the SPHINX passw... | _notebooks/2021-05-06-sphinx-algorithm-overview.ipynb |
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import pandas as pd
import mysql.connector as mysql
#... | Pertemuan 5 - Projek 1/Hasil kerja/Willy Sabekti/jawaban.ipynb |
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# # PREVISรO DE DENGUE EM SรO PAULO - SP
#
# ## <NAME>... | Projeto2_Dengue/ClubeDS-Dengue.ipynb |
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import numpy as np
from PIL import Image
import te... | Sanity Check.ipynb |
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# # Illustration of datascience Tables for multivariat... | Birthweight Regression.ipynb |
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# ## Integer arithmetic
#
# Many quantum algorithms need to ... | samples/arithmetic/AdderExample.ipynb |
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import pandas as pd
import numpy as np
import os
impor... | src/notebooks/CNNTesting.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> Spread Element</dd>... | examples/reference/elements/matplotlib/Spread.ipynb |
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# # TokenCheck
#Import Libraries
import numpy as np
i... | Notebooks/Model.ipynb |
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from dlinputs import utils
import numpy as np
assert ... | notebooks/test-utils.ipynb |
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# # Case: Impact of p_negative
# Situation:
# - 70% ... | .ipynb_checkpoints/C_Impact of p_negative-checkpoint.ipynb |
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# ## Top 30 YouTube Channels
# In this activity FacetG... | Lesson04/Activity24/activity24_solution.ipynb |
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# # Notebook \#1 - Backpropagation Playground
import ... | Notebook#1_Backpropagation_Playground_Template.ipynb |
# +
"""
Word Frequency
"""
# import io
# import pytest
# from unittest import TestCase
# from unittest.mock import patch
@pytest.mark.describe('Word Frequency - XXX')
class TestPrint(TestCase):
@pytest.mark.describe('Word Frequency - XXX')
class TestPrint(TestCase):
@pytest.mark.describe('Word Frequency - X... | pset_dicts/counters_challenge/tests/nb/test1.ipynb |
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# # How does HPL geometry affect the DGEMM sizes?
# +... | dahu/smpi_hpl/dgemm_geometry_trace.ipynb |
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import sqlite3
DB_FILEPATH = 'chinook.db'
conn = sqli... | module1-introduction-to-sql/in-class/SQL-Inclass.ipynb |
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import numpy as np
import matplotlib.pyplo... | Chapter_6/Wilks - Example 6.1 - A Simple Linear - A.1 Tmin - 27-MAY-2021.ipynb |
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# # Natural Language Processing with `nltk`
#
# `nltk`... | Python for Data Science/NLP-Databases/Movie Reviews Using NLTK/Movie Reviews Using NLTK.ipynb |
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# # Processor Specifications
# This tutorial covers th... | jupyter_notebooks/Tutorials/objects/ProcessorSpec.ipynb |
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# # 1. Deep learning: Pre-requisites
#
# #### Understa... | course_lessons/session1_introduction.ipynb |
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# # Overview
#
# * ํ๋ก์ ํธ ์คํจ ์์ธ์ค์ ํ๋๋ก ํ๋ก์ ํธ์ ๋ฒ์๋ฅผ ๋ช
ํํ ์ดํดํ์ง... | ch02.Why Should You Use the WBS? Top 20 Benefits.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | onlyBN/notebooks/Expressivity of BatchNorm.ipynb |
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# + language="sh"
# cd data/wine-reviews
# ls
# -
imp... | Data_Staging_Collation.ipynb |
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# # Introduction to Python (session 1) <a class="tocS... | MSc_GIS_Intro_to_Python_part_1.ipynb |
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library(ggplot2)
library(repr)
options(repr.plot.width=12, r... | Applications/xT/R Plot Kane.ipynb |
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# # ASSIGNMENT
#
# ### Core assignment
#
# Complete th... | module-3-select-models-and-parameters/assignment_exploration.ipynb |
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# # Example of Kalman Filter decoders
#
# This example... | Examples_hippocampus/Examples_kf_decoder_hc.ipynb |
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import time
import pandas as pd
import numpy as np
fro... | Toolbox/.ipynb_checkpoints/Iris_Clustering-checkpoint.ipynb |
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# # Find Filegroups
# A function that finds files tha... | mlxtend/docs/sources/user_guide/file_io/find_filegroups.ipynb |
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# + id="55it2bOM0Fs6"
#Replace Manual version of Logis... | LAB-07/144_07.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | day2_visualisation.ipynb |
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# ##%overwritefile
# ##%file:src/compile_with_swiftc.... | kernel/Swift/_swiftc.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | digit_recognizer.ipynb |
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# # Difference-in-differences
#
# Difference-in-... | modules/10-spatial-models/difference-in-differences.ipynb |
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import os
import itertools
import multiprocessing
... | hashcode2021_practice_round.ipynb |
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# # 1. Pythonic Code
# - ํ์ด์ฌ ์คํ์ผ์ ์ฝ๋ฉ ๊ธฐ๋ฒ
# - ํ์ด์ฌ ํน์ ์ ๋ฌธ๋ฒ... | Python/ML_basic/1.Pythonic Code/1-1.Pythonic Code.ipynb |
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import numpy as np
import scipy.integrate as spi
import matplo... | M-F-T/PhasePlot.ipynb |
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from openpyxl import Workbook, ... | Excel.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="jpdN5awEMDXX" outputId=... | Untitled5.ipynb |
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# + [markdown] id="DjlnjPnjWYFw" colab_type="text"
# ## Imports
# + id="yt0-... | L11_optim/code/Optim MLP Keras.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | notebooks/exploratory/html_usage.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | binary_search_trees.ipynb |
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import pybullet
import pybullet_data
# Open up a new ... | U_01/code/Task4.ipynb |
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# ### Vd 1 Recursion with Strings
# +
# T... | CN DSA/recursion_2.ipynb |
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# # Welcome to the Ramirez Lab Wiki โ Approved drugs f... | Computational_Polypharmacology/DrugBank/Approved_drugs_from_Drugbank.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module4-logistic-regression/LS_DS9_214_assignment_burrito_regression_classification_4.ipynb |
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from __future__ import print_function
from __futur... | notebooks/.ipynb_checkpoints/9-Learning a Non-singleton fuzzy system with a C- SVM + KBF kernel-checkpoint.ipynb |
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# + cellView="form" colab={} colab_type="code" id="4CWhmmPqkZRF"
#@title ##### License
# Copyright 2018 The GraphNets Authors. All Rights Rese... | graph_nets/demos/sort.ipynb |
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import matplotlib as plt
import pandas as pd
impor... | Neural_Network_Base en al mijn gekloot wat niet wilt mergen.ipynb |
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# # Road Following
#
# If you've run through the coll... | notebooks/road_following/data_collection.ipynb |
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# # Understanding units in LEGWORK
# + raw_mimetype="... | docs/notebooks/Units.ipynb |
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# # IOU Tracker
#
# IOUTracker implements a tracking a... | demo/demo.ipynb |
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# + id="a7r7VkFtOh95"... | regression_regularization_sol.ipynb |
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# # Value Iteration
#
# This assignment implements val... | ValueIteration.ipynb |
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# # Dynamically typed languages are cool
# One of the ... | 01-hello_world/03-dynamically_typed.ipynb |
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# ![Impressions](https://PixelServer20190423114238.... | how-to-use-azureml/work-with-data/dataprep/how-to-guides/impute-missing-values.ipynb |
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# # Longest Repeated Subsequence - LRS
#
# We want to ... | Sequences/Longest Repeated Subsequence.ipynb |
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# %matplotlib inline
#
# One Way to Do Ternary Heatma... | docs/source/tutorials/ternary_density.ipynb |
# -*- coding: utf-8 -*-
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# # Heiko's Challenge
#
# ... | examples/heiko.ipynb |
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# # Fire Historical Analysis
import matplotlib.pyplot... | FireAnalysis.ipynb |
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import os
import numpy as np
from pandas import read_c... | analysis/results_03b.ipynb |
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# # Title
# The title should be similar to ... | contrib/template.ipynb |
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# + [markdown] id="ivAui5C3uv-A"
# # Go่จ่ชใงๆดๆฐใ5ใใคใใซๆผใ่พผใ็ฐกๅใชใไปไบ
# + [markdown] ... | GoUint40.ipynb |
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# name: python3811jvsc74a57bd0f5712b28ab533d... | 00.ipynb |
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# + [markdown] colab_type="text" id="naWvqMEMHglO"
# <... | FB_Models.ipynb |
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# # 1. Setup
# common imports
import pandas as pd
imp... | SQL_Exercise.ipynb |
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# # Reading and Writing files
#
# So far, we have type... | Lesson 6 - File access in Python3.ipynb |
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# # Machine Learning for Medicine: Workshop
# ## What ... | ML_Med_distributions.ipynb |
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# ### This is Example 4.3. Gamblerโs Problem from Sutt... | DP/Gamblers Problem - My Solution.ipynb |
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# # Florida COVID epicenter analysis
# This analysis s... | florida_cases.ipynb |
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# + id="0GJ68Xtqa7Ff" executionInfo={"status": "ok", "... | scripts/AI Notebooks/Copy of SVM K fold random without.ipynb |
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# ### based on https://github.com/higgsfield/RL-Advent... | jupyter/pong/pong-raw-dqn.ipynb |
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# installation des modules nรฉcessaires pou... | project wordcount with spark/worcount.ipynb |
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# # Introduction
# In this tutorial, we give an end-to-end demo... | examples/model_compress/pruning/mobilenetv2_end2end/Compressing MobileNetV2 with NNI Pruners.ipynb |
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# # Check matplotlib backend
#
# The notebook checks m... | _doc/notebooks/check_matplotlib_backend.ipynb |
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# Q1. ๊ตฌ๊ตฌ๋จ 2~4๋จ์ ์ธ๋ก๋ก ์ถ๋ ฅํ๋ ์ฝ๋๋ฅผ ๋ง๋์ธ์.
start, end = 2, 4... | quiz/quiz_03_loop.ipynb |
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# # ์ ํ ๋ฐ์ดํฐ ์ ์ฒ๋ฆฌ 2
# - ์์ ์งํํ์ฌ ์ถ์ถํ bank-prep.csv ํ์ผ๋ก ์งํ
... | Data Preprocessing/ML-data-preprocessing-start/02_PreprocessingStructedData2.ipynb |