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# # Shor's Algorit... | content/ch-algorithms/shor.ipynb |
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os.e... | src/ssd512_siamese_train.ipynb |
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# In this lesson, I'll be talking about **imports** in... | notebooks/rendered/python/tut_7.ipynb |
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# + [markdown] id="_S3cEMHiCg3o"
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# **Data source :**... | notebook/Mobile_Price__Classification_ML.ipynb |
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# [<NAME>](https://orcid.org/0000-0001-7225-9992),
# Profes... | ft/sine_intergral_0A13DD5E57.ipynb |
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# # KOBE Bryant Shot Selection
# <NAME> marked his re... | code/.ipynb_checkpoints/07_Analysis-and-Conclusion-checkpoint.ipynb |
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# # Regression Regularization Techniques - Ridge and L... | Lectures/Regression/6. Regularization with Lasso and Ridge Regression - Complete.ipynb |
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# # Unit 5 - Financia... | financial-planner.ipynb |
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# <div style="direction:rtl;line-height:300%;">
# <fo... | notebooks/example_6/index.ipynb |
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# ## Z Calibration Curves for 3D-DAOSTORM (and sCMOS).... | jupyter_notebooks/dao3d_zcal.ipynb |
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# ## Initial setup and file reading
# testing is using... | Notebooks/TXRRC dbf900.ebc parsing.ipynb |
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# # Gridplot: Visualize Multiple Graphs
#
# This examp... | docs/tutorials/plotting/gridplot.ipynb |
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# # "Rock" Drop Lab
# ## PH 211 COCC
# ### <NAME> 2/10... | Launch or Drop/.ipynb_checkpoints/RockDropLab21-checkpoint.ipynb |
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# # TTS Inference Model Selection
#
# This... | tutorials/tts/Inference_ModelSelect.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 4_2_aug_pretrained.ipynb |
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# # Basket option implementation based on normal model... | py/HW2_xlt/TestCode_BasketSpread.ipynb |
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# # Days 9 Class Exercises: Seaborn
# For these class... | class_exercises/.ipynb_checkpoints/D09-Seaborn-checkpoint.ipynb |
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# + colab={} colab_type="code" id="MJG1tV3p-8EM"
impor... | Homework-Assignments/Week 5 - Lunar Lander (Deep Q Learning)/Lunar Lander (Deep Q Learning).ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Classification jupyter notebooks/s12_logistic_regression.ipynb |
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# <a href="https://colab... | text_sumarizier_SOLVED.ipynb |
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import codecs
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... | .ipynb_checkpoints/data_statistic-checkpoint.ipynb |
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import numpy as np
import simpy
from collections i... | docs-static/SIRS/steel-thread/tests/.ipynb_checkpoints/NewSim SIRS Test-checkpoint.ipynb |
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import tensorflow as tf
import tensorflow.contrib.slim... | grab-aiforsea/computer-vision/transfer-learning.ipynb |
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# source: https://feisky.xyz/machine-learning/neural-n... | Activation_function_Introduction.ipynb |
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# %matplotlib inline
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import warnings
warnings.fil... | notebooks/HPSC COVID-19 14-day Epidemiology Reports.ipynb |
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# # Applying Customizations
import pandas as pd
import numpy as np
import holoviews as hv
from holoviews import opts
hv.extension('bokeh', 'm... | examples/user_guide/03-Applying_Customizations.ipynb |
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# <b>Imports of required libraries</b>
import numpy a... | 02_statistical_tests_introduction.ipynb |
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# You are given an unordered array consisting of conse... | Interview Preparation Kit/1. arrays/3. minimum swaps 2.ipynb |
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# <a href="https://colab... | TorresHanoi.ipynb |
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# # Parse RumEval Twitter data
# +
import os
import n... | data/RumEval19/read_RumEval2019.ipynb |
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# # Create a Pipeline
#
# You can ... | .ipynb_checkpoints/08 - Create a Pipeline-checkpoint.ipynb |
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# Congratulations! You have successfully defined and c... | Python Data Science Toolbox -Part 1/Writing your own functions/02 .Single-parameter functions.ipynb |
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# ### Streaming Submodular Optimization
#
# Sometimes,... | tutorials/6. Streaming Submodular Optimization.ipynb |
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// # Linked List
// ## Basic structure of a n... | notebooks/LinkedList.ipynb |
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# import os
import tensorflow as tf
import numpy as np... | CQA_Summarization.ipynb |
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# ## Libraries
# +
# %... | DQN_prototype_v2.ipynb |
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#Parte 1
# #! pip install nltk
import nltk
nltk... | Material, Exercicios/Codigos/iadell10_lingnat.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CNNMaxPoolK1.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | .ipynb_checkpoints/P1_post-checkpoint.ipynb |
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from PIL import Image, ImageDraw, ImageFilter
im1 = I... | notebook/pillow_composite.ipynb |
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# ## Operations
#
# `Operations` are toy datasets for ... | examples/operations/op.ipynb |
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# + [markdown] id="ddVHd1ngh2nu"
# #**Business Problem**
# XYZ bank wants a d... | Loan_Repay.ipynb |
# -*- coding: utf-8 -*-
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# ________
# # __Machine Learning Project (u... | ML using PySpark.ipynb |
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from collections import defaultdict
import json
im... | FPP.ipynb |
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from typing import Dict
import matplotlib.pyplot as ... | electra/electra.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="99i5oWpdzFO_" outputId=... | dance_classification_lstm.ipynb |
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sage: a = 13
sage: b = 37*11
sage: x = PolynomialRi... | q ,k congurent to 1.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | MY_frcnn_train_vgg.ipynb |
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# # Frequency correlation plots for simulated populati... | analyses/2019-09-25-frequency-correlations-for-simulated-populations.ipynb |
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# # Spectral Clustering
#
# The spectrum of a matrix r... | Spectral Clustering.ipynb |
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import os
os.environ['RESULTS_VERS'] = 'l33'
from ... | py/iso_abundances.ipynb |
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# # Get Landsat Time Series (lsts) Sample Data
#
# In ... | examples/sampledata/create_lsts_sample_data.ipynb |
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# For Caltech ML homework1
# In this problem, you ... | PLA/single run pla.ipynb |
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# # Visualizing Frame Dragging in Kerr Spacetime
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# #... | docs/source/examples/Visualizing Frame Dragging in Kerr Spacetime.ipynb |
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import azureml.core
from azureml.core import Works... | AMLNotebooks/01_Create_CreditRisk_AML_Pipeline.ipynb |
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# # Análisis de Componentes Principales - Paso a Paso
... | notebooks/T10 - 1 - Analisis de Componentes Principales_Py38.ipynb |
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# author=cxf
# date=2020-8-8
# file for take a loo... | model_training/0.prepare_processing/run1/take_look.ipynb |
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# # 1.3. Introducing the multidimensional ... | chapter01_basic/03_numpy.ipynb |
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import pandas as pd
import numpy as np
from sklearn.tr... | Decision_Tree.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="gKRLIk_8UAAE" execution... | nbs/colab/03.1_resnet.ipynb |
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# # Chat Intents Tutorial
# The following... | notebooks/chatintents_tutorial.ipynb |
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# import some data
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# # 自動機械学習 Automated Machine Learning による品質管理モデリング & モデル解釈 ... | Sample/Automated-Machine-Learning/FactoryQC-classification-explainer-remote.ipynb |
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import scipy
import scipy.stats
y = [1,1,2,2,3,3,... | scipy/get_list_norm_distribution_probability.ipynb |
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# ---... | ff-2-model_predict_score.ipynb |
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# Draw all defined logic elements, with color and ... | test/test_logic.ipynb |
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# # dictionary data structure ==> mapping key value pa... | basics/P12_dictionary.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W3D5_NetworkCausality/student/W3D5_Tutorial3.ipynb |
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# #!/usr/bin/env python3
from datetime import date... | projects/redditEmojiAnalysis/webScraping/emojiScraping.ipynb |
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# ### Kaggle 竞赛 | 泰坦尼克灾难中的机器学习
#
# >泰坦尼克号的沉没是历史上最臭名昭著的... | Titanic-zh.ipynb |
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player_page = "h... | Scrapers/Tyrone Mings.ipynb |
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# # ML Pipeline Preparation
# Follow the instructions ... | ML Pipeline Preparation.ipynb |
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# # Hash the Trash notebook
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#... | HashTheTrash.ipynb |
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# # Print vs Return in Functions
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#
# In this les... | 02 Print vs Return.ipynb |
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# + [markdown] colab_type="text" id="c0ES8... | Jupyter/M09-Optional/SIT742P04B-Matplotlib.ipynb |
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# + pycharm... | notebooks/hello_matplotlib_animation.ipynb |
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# + [markdown] id="SNQmXaye3CT-"
# #**Keystroke Dynamics on Mobile Devices Va... | ColabNotebooks/version1.6.4_multipleUserAnalysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Automatic peak finding and calibration... | examples/autocal.ipynb |
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import pickle as pk
import matplotlib.pylab as plt
imp... | fast-approx-ML-slide14.ipynb |
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# # Exploratory data Analysis
import pandas as pd
da... | Exploratory data analysis.ipynb |
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# # Ex -
# ### Introduction:
#
# This time you will ... | Template/Solutions.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | PythonDataScienceHandbook-master/notebooks/03.01-Introducing-Pandas-Objects.ipynb |
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# Import Libraries
import numpy as np
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# ## 2021년 6월 13일 일요일
# ### BaekJoon - 열 개씩 끊어 출력하기 (P... | DAY 301 ~ 400/DAY394_[BaekJoon] 열 개씩 끊어 출력하기 (Python).ipynb |
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# + id="sK8sCW2vpbx7"
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import os
#import sys
dir_parent = os.getcwd() #os... | notebooks/temp.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | notebooks/midterm_2018_sols.ipynb |
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import cobra
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... | 07-notebook-and-data/.ipynb_checkpoints/Homework7-checkpoint.ipynb |
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def fib(self, N):
"""
:type N: int
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import turicreate as tc
from turicreate import SFrameB... | coco2SFrame.ipynb |