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# + id="2XlO5yvAXyZ1"
# !pip install rasterio
# + id="cBCaBXywayEm" executio... | Code/[1]Interpolation.ipynb |
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import numpy as np
import numpy.linalg as la
A = np.a... | power_iteration.ipynb |
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# # Text Analytics
# <img align="right" style="padding... | week7/7_Text_Analytics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | roc_curve.ipynb |
# -*- coding: utf-8 -*-
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# このノートブックは、次のページの内容に基づいて作られています。
... | notebooks/mxnet_ndarray_demo_ja.ipynb |
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import sys
sys.path.append('../scripts/')
from puddle_... | section_mdp/policy_evaluation3.ipynb |
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# #### Package installations
# Uncomment if use GPU re... | CustomCoverNet_model.ipynb |
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# # Intro to NumPy
#
# We're going to build on the wor... | instructor/Intro_to_NumPy.ipynb |
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# startswitch() 함수
# 문자열의 접두사를 찾을 때 사용
# 슬라이싱을 이용하... | switch_fucntion.ipynb |
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# + [markdown] id="U2ze7vkpU7II" colab_type="text"
# **Objective is to detect... | EDA.ipynb |
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# # Jupyter Notebook: Freemont Bridge
# ## From https:... | FremontNotebook-PreRefactor.ipynb |
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# # Project 01-Benson — Final... | 1-mta-turnstiles/code/01-Benson-Final.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <h1... | MIT_sloan_presentation/MIT_Sloan_tech_club_Deutsch.ipynb |
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# # PPO Breakout Example
#
# ### Atari Breakout
#
# Pl... | ludus/examples/ppo_breakout.ipynb |
# -*- coding: utf-8 -*-
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# <a id='getting-started'></a... | tests/project/ipynb/getting_started.ipynb |
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# + [markdown] id="MkM6aOLmJzRv"
# # IC - Projeto 2
#
# ### DMC 2013
# + [ma... | pre_processing-transform.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Historical_Stock_Download.ipynb |
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# # Hands-On Machine Learning with Scikit-Learn, Keras... | notebooks/Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow/Chapter_10-Keras.ipynb |
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# Please note that block size = 512B (as per blkt... | IO_Traces/Traces_Filebench/filebench_webproxy_30mins_21Apr.ipynb |
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# # Building MNIST-1D
# <NAME> | 2020
#
# This noteboo... | building_mnist1d.ipynb |
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# # Ejercicio 1: Uso de ciclos while en Pyt... | Modulo7/Kata7.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | gdf_pca/junk/results-explore_features.ipynb |
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import tensorflow as tf
import matplotlib.pyplot as pl... | src/traditional/setup_cnn.ipynb |
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# + id="dwwzqxj1yzSd"
import numpy as np
from sklearn import datasets
from sk... | lab3/77_2_NB_Classifier_Iris_2Classes.ipynb |
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# # Mathematique for A to Z
# # Operation
#
#
# | Ope... | languages/python3-jupyter/sympy/1_simple_operations.ipynb |
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import tensorflow as t... | prototypes/sentiment-analysis-eager-keras.ipynb |
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import numpy
from matplotlib import pyplot
# %matplotl... | lessons/02_spacetime/02_01_1D_convection_solutions.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | [SGU 2021] reinforcement learning/ch6 Value Fuction Approximation/Ex 10.1 Mountain Car Task.ipynb |
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import numpy as np
import pandas as pd
def read... | artificial-intelligence-with-python-ja-master/Chapter 11/read_data.ipynb |
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import os
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from skimage import transform... | recognizingTrafficSigns/src/trafficSignsClassifier.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="QCyZWuNKtkk7" outputId=... | TeamProject_KMeansClustering.ipynb |
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# Requirements
# --
# For this excercise you need a (f... | notebooks/en-gb/104 - Remote door bell - Using a cloud API to send messages.ipynb |
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# # Import
import cv2
import h5py
import numpy as np
... | segmentation/Data Management.ipynb |
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# Allow the PyMC3 models to be imported in the not... | notebooks/HierarchicalLogisticRegression.ipynb |
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# ## Observations and Insights
#
# ## Dependencies a... | Pymaceuticals/pymaceuticals.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | IR_hindi.ipynb |
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# # Coursera Capstone
# ## Segmenting and Clustering N... | Coursera_Capstone_Toronto_assignment_part_3.ipynb |
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# + [markdown] id="_wIWPxBVc3_O"
# # NeMo offline ASR
#
# This notebook demon... | tutorials/asr/Offline_ASR.ipynb |
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# Dependencies and Setup
import matplotlib.pyplot ... | WeatherPy/WeatherPy.ipynb |
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my_list = [1, 2, 3, 5, 8, 13]
list_iterator = iter(my... | basics/Iterators.ipynb |
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from math import pi
import pyJvsip as pjv
# %matplotli... | doc/notebooks/Info_InterpolateNB.ipynb |
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# # ETL with EEOC
# # <NAME> and <NAME>
# # Extract
... | ETL_EEOC_20190509.ipynb |
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from george.modeling import Model
class Model(Mod... | gpr/george_model fitting to data.ipynb |
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# # Cryptografía de Curva Elíptica
#
# Bi... | .ipynb_checkpoints/curvaEliptica-checkpoint.ipynb |
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# # Impact of Initial Guesses
#
# Our fits before were... | 3_Initial_Guesses.ipynb |
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# # States for Many Qubits
from qiskit import *
# ##... | i18n/locales/ja/ch-states/old-states-many-qubits.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# **P... | DJ Piano Diagram Tutorial.ipynb |
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# # WRF Forecast to Power Tutorial
#
# This tutorial will walk th... | docs/tutorials/WRF_forecast_to_power.ipynb |
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# + [markdown] id="-JlvLXV8Hh1w"
# [![Open In Colab](https://colab.research.g... | notebooks/implicit_differentiation.ipynb |
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from datascience import *
import numpy as np
# %m... | Data8.1x/lec11.ipynb |
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### Reference :https://www.kaggle.com/naumani... | Project_3_Genre_Based.ipynb |
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# imports
# Science imports
import pandas as pd
im... | Project Scoring System - bubble chart.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/solutions/SOLN_S3_Functions_and_Debugging.ipynb |
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# + [markdown] nbpresent={"id": "7c4527ca-47d5-4222-a2... | 06-Tables/Advanced_Tables.ipynb |
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from nltk.corpus import gutenber... | notebook/procs-en-konlpy.ipynb |
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from defense import *
from utils import *
import incep... | remove_code/sotas/Advanced-Gradient-Obfuscating-master/normal_attacks.ipynb |
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# Imports
from __future__ im... | Classification Networks/BCN_BaselinewithCNN_TRN.ipynb |
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# # Neural Learning - implementing elements of neural ... | Tutorial/week06/9417-Week5/Lab6_NeuralLearning_As.ipynb |
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# # Similarity Evaluation Analysis (SEA) Dataset F
#i... | notebooks/Dataset F - Indian Liver Patient/Synthetic data evaluation/Privacy/1_Similarity_Evaluation_DatasetF.ipynb |
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# # Using Polar and Log-Polar ... | digital-image-processing/notebooks/registration/plot_register_rotation.ipynb |
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# The functools.cache decora... | chapter 9- Decorators and Closures/example 9-17-20-Decorators in the Standard Library.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | automl/08.auto-ml-remote-execution-with-text-file-on-DSVM.ipynb |
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# # Poly Editor
#
#
# This is ... | matplotlib/gallery_jupyter/event_handling/poly_editor.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | codes (DL - RNN & LSTM)/Part-3 Sentiment Analysis - Prediction - Long Short Term Memory (LSTM) Single Input Prediction.ipynb |
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# # Customizing and controlling xclim
#
# xclim's beha... | docs/notebooks/customize.ipynb |
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import matplotl... | ad_indexing_arrays.ipynb |
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# # Import des données
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# (From a private presentation.)
# ![Fig01](../figure... | 1-PRD_Figures/Fig01_Diagram.ipynb |
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# # Working with Table Data
#
# Here we will use the p... | part2-table-data-analysis.ipynb |
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# # 第5回 ランキング学習（Ranking SVM）
# この演習課題ページでは，Ranking SV... | codes/.ipynb_checkpoints/5_Learning_to_Rank-checkpoint.ipynb |
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# %load_ext autoreload
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# ## Introduction
# https://www.tutorialspoint.com/fla... | programming/python/Flask/Forms_Database_flask _ large app structures.ipynb |
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import matplotlib.pyplot as plt
im... | paper/notebooks/active-learning.ipynb |
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# # Riskfolio-Lib Tutorial:
# <br>__[Financionerionci... | examples/Tutorial 12.ipynb |
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import requests
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from bs4 import Be... | kurstag7_API_Scraping2/Lehrstellen LENA.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
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import pandas as pd
# # Lectura de ficheros
# locaci... | scripts/.ipynb_checkpoints/crea_csv_locaciones_simio_3-checkpoint.ipynb |
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# <a id=“title_ID”>... | jwst_validation_notebooks/source_type/jwst_src_type_miri_test/miri_mrs_src_type.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | online_judges/island_perimeter/island_perimeter_challenge.ipynb |
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# + [markdown] nbsphinx="hidden"
# # Random Signals
#
... | random_signals/independent.ipynb |
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% ## Tex Preamble
% $$
% \newcomma... | notebooks/poleplacement/BMI and LMI comparison.ipynb |
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# # Web scraping with s... | notebooks/.ipynb_checkpoints/blog3-checkpoint.ipynb |
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# # 1 Implement the K-means algorithm
import numpy a... | data science/DIT863 - stat/assignment_3/.ipynb_checkpoints/Assignment_3_v1-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Jan 31, 2017 class: Precipitation
# Impor... | ClausiusClapeyronModuleTutorial.ipynb |
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# # Optimal probabilistic clustering - Part II
# > ...... | __writing/.ipynb_checkpoints/__writing-optimal_probabilistic_clustering_part2-checkpoint.ipynb |
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# ## Coding Exercise #0109
# ### 1. A function that r... | SIC_AI_Coding_Exercises/SIC_AI_Chapter_02_Coding_Exercises/ex_0109.ipynb |
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# + id="8S5_rD9-PH5e" executionInfo={"status": "ok", "timestamp": 16320751479... | scrape_extra.ipynb |
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# <!--TABLE OF CONTENTS-->
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# - ["Haters go... | analysis_python/.ipynb_checkpoints/Statistical_Analysis-checkpoint.ipynb |
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# # Slots
# The attributes of objects are ... | 00-PythonLearning/01-Tutorials/python_examples/python_slots.ipynb |