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import pandas as pd
import numpy as np
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base = pd.... | LoadPrediction.ipynb |
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# 成都市教育局教育服务专题下的学前教育、义务教育、高中教育的内容全部拉下来.
# http://edu.c... | Untitled3.ipynb |
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import pandas as pd
import json
impor... | jupyterlab/graphs/ReachEvolution.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | pneumonia_yolo.ipynb |
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# # Gaia Data Workshop - Heidelberg, November 21-24, 2... | AIP-gdw.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Developing_ipynb/project4_0327_SS.ipynb |
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# <a href="https://colab... | 14_Prim.ipynb |
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# # Convert FIRE data
#
# This script will convert the... | data/convertFIREdata_simple.ipynb |
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# Now we will continue on the [Conversation AI](https:... | hw6/BERT_classifying_toxicity_p100.ipynb |
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# # Mean Normalization
#
# In machine learning we use ... | NumPy Mini-Project/Mean Normalization and Data Separation.ipynb |
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import math
impor... | practice/14.ipynb |
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# # PC lab 10: Artificial Neural Networks
# ---
# <im... | predmod/lab4/PClab012_ANN_solved.ipynb |
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# # Timing for a Toymodel Che... | d200326_ctapipe_charge_sampling_rate/image_timing.ipynb |
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# + id="9mEq66v4PziL"
import matplotlib.pyplot as plt
import numpy as np
impo... | Python Simulation/SimOptClass.ipynb |
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# # Jupyter Setup
#
# Hello! You've successfully opene... | Practices/_Keys/KEY_Practice01_Jupyter-Setup.ipynb |
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# ## Vornoi Tesellation
#
# The Voronoi diagram, or t... | notes_on_feature_extraction/voronoi_tesselation.ipynb |
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# + [markdown] slideshow={"slide_type": "slide... | lectures/L18/L18.ipynb |
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import pandas as pd
ratings = pd.read_csv("data/r... | recommender/rest-api/Content Based SKLearn.ipynb |
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# # Advertisement CTR (Click-Through Rate) Prediction
... | Advertisement-CTR-Prediction.ipynb |
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# + [markdown] colab_type="text" id="UEBilEjLj5wY"
# S... | L13-cnns-part2/code/resnet-34.ipynb |
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from sagas.ofbiz.entities import OfEntity as e, oc... | notebook/procs-ofbiz-form.ipynb |
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# https://keras.io/preprocessing/image/
# # TensorFlow 2.0
... | DL_TF20/Part 11 - fit_generator - flow from directory-Antonio.ipynb |
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# name: python373jvsc74a57bd0210f9608a45c0278a... | wandb/run-20210518_221159-1q566nef/tmp/code/00-main.ipynb |
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import arff
import numpy as np
import json
from sklear... | backend/dataset/preprocess.ipynb |
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# ## Winpython with R : comparing DPLYR and Pandas
#
#
# It is based on... | docs/FlavorR/dplyr_vignette_in_R_kernel.ipynb |
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from pyrep import PyRep
from pyrep.objects.shape i... | Experiment2/ACNMP-SecondExperiment-Cylinder_pushing.ipynb |
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# this is to test the Bergen County mismatch from ... | scripts/.ipynb_checkpoints/test-checkpoint.ipynb |
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# # Effect of including average bonus + save + card po... | notebooks/total_saves_bonus_cards.ipynb |
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# + deletable=true editable=true
n = int(input('请输入一个整... | chapter1/homework/localization/3-15/201611680132.ipynb |
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# # Neural Network
#
# In this jupyter notebook we wi... | Neural_net.ipynb |
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# # library
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import numpy as np
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# # Test Case 5 Calculating interaction of randomly ge... | .ipynb_checkpoints/test _case_5-checkpoint.ipynb |
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# + [markdown] id="7QUQgep6nsyW"
#
# Problem Statement and Objective: A hospi... | sca_project (3).ipynb |
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# # Intro. to Snorkel: Extracting Spouse Relat... | tutorials/intro/Intro_Tutorial_3.ipynb |
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# + [markdown] tags=[] id="44e9b83a-a610-4... | WQU MScFE 640 - Portfolio Theory and Asset Pricing (C21-S1)/Group Work/Final Submissions/Submission 2/Final Submission/MScFE_640_PTAP_Group_Submission_2_Group_3.ipynb |
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# This is an initial device test run to... | Test.ipynb |
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import param
import parambokeh
from bokeh.io import output_notebook
import numpy as np
import pandas as pd
output_notebook()
# -
# The... | examples/user_guide/View_Parameters.ipynb |
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import pandas as pd
# ## Anonymize Enbridge data
enb... | anonymize_data.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | nbs_gil/covid19/john_hopkins_dataset_creation.ipynb |
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# # Step 0.0. Install LightAutoML
# Uncomment if doe... | Tutorial_3. Multiclass task.ipynb |
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# # Perform MC simulation on the NPT ensemble using HO... | HOOMD_simulation_scripts/hoomd_Jagla_NPT.ipynb |
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# # Python Basics
# ## What is Python?
#
# Py... | _build/jupyter_execute/courseware/Chapter_2/Python_Basics.ipynb |
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# # 基本程序设计
# - 一切代码输入，请使用英文输入法
print ('hello word')
... | 7.16.ipynb |
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# Proximas tareas :
#
# - Crear version secuencial de... | Class/Untitled.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | ImageColorizerColab.ipynb |
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# # Linear Regression
# __~ <NAME>__
# $ x_1 x_2 x_3 ... | notebooks/linear-regression/linear-regression.ipynb |
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import time
import math
import numpy as np
import... | glass1-seed -11/Training SVM Getting AUC glass1.ipynb |
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# # 4.2.2 Dependence on the Node Degree
# %load_ext a... | CNS_Sensitivity_k_tilde_min.ipynb |
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# <h1>INTERPOLATIONS</h1>
# <b>Group 8</b> <br>
# <NA... | Interpolation.ipynb |
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###HEADERS
#get_ipython().magic(u'pylab inline')
... | Master regulators.ipynb |
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import time
import random
import numpy as np
fro... | Neural Clicks.ipynb |
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# + [markdown] colab_type="text" id="Y8V2E13xR5nX"
# #... | Training_StarCraft_2_Agent_under_Colab.ipynb |
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# ## Exercise: CBS Innovation
import requests
from bs... | 20191008/Exercises/CBS_Innovation.ipynb |
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# # Modulo
#
# Given 10 non-ne... | coci/2006-1/modulo.ipynb |
# -*- coding: utf-8 -*-
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# # [LEGALST-190] Lab 4/12: Morality and Sentiment Ana... | labs/24_Sentiment Morality/.ipynb_checkpoints/4-12_Morality_Sentiment_Analysis_SOLUTIONS-checkpoint.ipynb |
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# default_exp core.spells
# -
# # Spells
#
# > De... | 15_core_spells.ipynb |
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# - By [lazarusA](https://lazarusa.github.io/Webpa... | FigHeatCbarLeft.ipynb |
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# # Simple linear regression
#
# 선형모형은 입력 특성에 대한 선형 함수... | 02ML/02Supervised/01Regression/01SimpleRegression.ipynb |
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"""
Basic imgae load, plot, resize, etc..
<NAME>... | notebooks/basic_imgprocess.ipynb |
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# <h1>Data Cleaning in Python</h1>
# <h2>Errors with ... | dataPreprocessing.ipynb |
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# # Kaggle-kilpailu: Gene Expression ... | Kaggle_gene_expression.ipynb |
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# # ***Introduction to Radar Using Python and MATLAB**... | jupyter/Chapter07/rounded_nose_cone.ipynb |
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# # Built on
# !date
# ## Status
#
# [![Deploy Jupyt... | book/built-on.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | intro_to_strings/intro_to_strings-PERG_2020-03-05.ipynb |
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# # Create al... | notebook/2017-12-08_iter_code.ipynb |
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import pandas as pd
import numpy as np
from matplotlib... | section 0001/SEC001 VID004 Fetching and understanding the Dataset.ipynb |
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# ## Introduction
#
# This is an open-source implement... | deep_steg.ipynb |
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# ## <NAME> convective aggregation classificat... | notebooks/Tobin aggregation index.ipynb |
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addprocs(3)
nprocs()
@everywhere include("../... | Notebooks/.ipynb_checkpoints/Flexible_firstBending-Parallel-checkpoint.ipynb |
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# ## Imports
import os
from IPyth... | notebooks/entity.ipynb |
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# + [markdown] id="MV-CWK2kI-iH" colab_type="text"
# ## TFMA Notebook example... | examples/chicago_taxi/chicago_taxi_tfma_local_playground.ipynb |
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# # 文法特征
#
# 第 6 章中... | 9.1-grammatical-features.ipynb |
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# <a href="https://colab... | ODE/ODE_Supplementary_v1.ipynb |
# <!-- dom:TITLE: Many-body Hamiltonians, basic linear algebra and Second Quantization -->
# # Many-body Hamiltonians, basic linear algebra and Second Quantization
# <!-- dom:AUTHOR: [<NAME>](http://mhjgit.github.io/info/doc/web/), National Superconducting Cyclotron Laboratory and Department of Physics and Astronomy, M... | doc/pub/secondquant/ipynb/secondquant.ipynb |
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# # Tabular data preprocessing
# + hide_input=true
fr... | docs_src/tabular.transform.ipynb |
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# # QCoDeS Example with Tektronix Keithley 2450 Source... | docs/examples/driver_examples/Qcodes example with keithley 2450.ipynb |
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# ### 1 Short Answer
# 1.False
# MV optimization cons... | solutions/mid1/submissions/gongjinruo_167940_6241789_Jinruo Gong 2021 Midterm (1).ipynb |
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# ## Transfer MNIST... | Transfer_MNIST_M_domain_adaptation_to_Fashion_MIST_Images_PixelDA.ipynb |
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# # Problem Sheet Tensorflow
# ## 1. Use Tensorflow t... | solutions/solution.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
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# The classical f... | experiments/free_terms.ipynb |
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# # Unseen Object Instance Segmentation
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# ## Copy/move files from CSV files
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# %%time
import malaya
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# # Semana 13
#
# ## Módulo 4a: Ferramentas... | cclhm0069/_build/jupyter_execute/mod4a/sem13.ipynb |
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# <img src="images/dask_horizontal.svg" align="right" ... | 02_bag.ipynb |
#
# ## Figuring out Natural Language Processing
# As I have never worked on NLP before, the purpose of this notebook was to play arround with a dataset and try to figure out a bunch of stuff on the subject.
# Here we will be working on the IMDB dataset which provides 50k movies text reviews and their corresponding sent... | projects/discovering_nlp/script.ipynb |
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# _You are currently looking at **version 1.5*... | Assignments Submitted/Week 2/Assignment+2.ipynb |
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# # Notebook Template
#
# This Notebook is stubbed out... | notebooks/notebook-template.ipynb |
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# # High-level CNTK Example
# + tags=["parameters"]
#... | {{cookiecutter.repo_name}}/exec_src/CNTK_CIFAR.ipynb |
# -*- coding: utf-8 -*-
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# # Model/Reanalysis SST
#... | 2020/NBS_SST_Analysis/SST_ModelandReAnalysis.ipynb |