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# !pip install keras
from pandas import DataFrame
fro... | Temporary Models/Exp18-AL-Prediction Wind Approach 1 Batch 1 1 month ahead.ipynb |
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org_id = '4932'
# ### Call Semantic Similarity Comput... | semantic-similarity.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Shipwreck_first_model.ipynb |
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import pandas as pd
import numpy as np
import ... | notebook.ipynb |
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# + id="0eybWQm5qXBB" colab_type="code" colab={}
import pandas as pd
from skl... | LR_Conv_1d.ipynb |
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# # SPARQL Queries for Local RDF Data
#
# So you found... | _drafts/rdflib-and-sparql.ipynb |
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# # <img style="float: left; padding-right: 10px; wi... | content/homeworks/cs109a_hw4/cs109a_hw4_submit.ipynb |
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import pandas as pd
import numpy as np
from hmmlearn ... | Homework/2019/Task4/6/code/DGA_Detection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Python/Learn/4_Data_visualization.ipynb |
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import pandas as pd, json, numpy as n... | code/tourism.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | old/xgb_custom.ipynb |
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# # M2AA3 Chapter 2, Lesson 2 - Generating Orthogonal ... | M2AA3/M2AA3-Least-Square/Lesson 02 Best Approximation Problem/Orthogonal Polynomial.ipynb |
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# !pip install matplotlib
import pandas as pd
import ... | foundations_hw/12/311 time series homework.ipynb |
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import geopandas as gpd
from cartoframes.auth impo... | examples/data_enrichment/polygons_enrichment_public_dataset.ipynb |
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# + init_cell=true tags=["remove_cell"]
from exam_grad... | exam-grading-notebook.ipynb |
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# + [markdown] id="Oxb_tjw13y4G"
# ##### Copyright 2019 The TensorFlow Hub Au... | examples/colab/wiki40b_lm.ipynb |
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import pandas as pd
import os
import matplotlib.pyplot... | Figure_8_10.ipynb |
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# # Style Mapping
# +
import numpy as np
import holoviews as hv
from holoviews import dim, opts
hv.extension('bokeh')
# -
# One of the majo... | examples/user_guide/04-Style_Mapping.ipynb |
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#### Imports ####
# Install a pip package in the ... | Code/ICAlgorithm/Ecoli-Size50-ICAlgorithm.ipynb |
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import numpy as np
# Las ecuaciones para un proyectil... | Proyectil_a_chorro.ipynb |
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# This IPython Notebook introduces the use of the `ope... | examples/jupyter/mdgxs-part-i.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Instructions h... | PartII_VacationPy/VacationPy.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tcc_ML_anos_separados.ipynb |
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# %env CURL_CA_BUNDLE=/etc/ssl/certs/ca-certificates.c... | 00-wzell-2-0/01-mac-cogs-monthly-grab.ipynb |
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# <a href="https://colab... | Untitled0.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# Spectra... | notebooks/L-spectrum.ipynb |
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# # Linear Regression
#
# Machine learning is about us... | deepschool.io/Lesson 0 - LinRegression.ipynb |
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# + [markdown] id="pz30qXGcPFFM"
# # Import the libraries
# + id="H9ZZOJ3JMY... | Week4/Week4.ipynb |
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# PyTorch imports
import torch
from torch import n... | burst_examples/cifar10_conda/CIFAR10_CNN.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clase2.ipynb |
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# ## Cell tracking statistics Darwin
import p... | notebooks/Cell_tracking_Darwin.ipynb |
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# <img src="resources/BerkeleySeal.png" width="150"/> ... | .ipynb_checkpoints/Finalv1-checkpoint.ipynb |
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# + [markdown] id="3IrnqNnWO04A"
# # Ungra... | course2/week4-ungraded-lab/C2_W4_Lab_1_WeatherData.ipynb |
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# %% [markdown]
# # Description
# %% [m... | dataflow/model/notebooks/Master_strategy_analyzer.ipynb |
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# ## Demo_XGBoost
#
# Reference:
# - https://gist.gith... | talkingdata-adtracking-fraud-detection/Demo_XGBoost.ipynb |
# -*- coding: utf-8 -*-
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# # ClimateMARGO.jl tutori... | notebooks/tutorial.ipynb |
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import panel as pn
pn.extension('vtk')
# The ``VTKVolume`` pane renders 3d volumetric data defined on regular grids. It may be constructed fr... | examples/reference/panes/VTKVolume.ipynb |
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# ### A00279668 File for downloading the training se... | Code/Tweepy/Tweet download bot2.ipynb |
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from pathlib import Path
import pandas as pd
import da... | Analytics.ipynb |
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# +
import numpy as np # linear algebra
import pandas ... | Data analysis.ipynb |
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import skimage.io as io
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import matplotlib.pyplot as plt
imp... | AIREP_4.ipynb |
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# +
import os
import sys
from time import sleep
impor... | PreviousDevelopment/SpindlePlayback-Copy2.ipynb |
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# # Model 2 training and prediction
# *(This process ... | code/7_Submission_M2.ipynb |
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# + id="ur8xi4C7S06n"
# Copyright 2022 Google LLC
#
# Licensed under the Apac... | notebooks/community/ml_ops/stage5/get_started_with_vertex_private_endpoints.ipynb |
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# # Loading and Cleaning Our Data
# Import the requir... | Activity8.01_Breakdown.ipynb |
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import pandas as pd
import numpy as np
file_path ... | notebooks/models/1.1-sentimentmodeling.ipynb |
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... | cn/.ipynb_checkpoints/sicp-3-17-checkpoint.ipynb |
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# # Machine learning forecast of a crypto currency
#
#... | nb/05_ml-forecast.ipynb |
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# # Image Slicer
# A demo for identification of crater... | Mask_RCNN/notebooks/1_image_slicer.ipynb |
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# # Expect Exception
#
# Expect Exception allows you t... | README.ipynb |
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# Necessary imports, start spark and create our model ... | python/example/model-downloader/ModelDownloaderExample.ipynb |
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import numpy as np
import csv
from scipy import stats
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# # Lab 10
# ##### Question 1
# +
import xlrd
book= ... | Lab10.ipynb |
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# Esse notebook é sobre o exercício 3.5 da terceira ed... | aula-05/3.5-Jurafsky.ipynb |
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# # Dependencies
# + _kg_hide-input=true
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# # Big Panda Dataframe
# Panda knows how to do lots ... | Notebooks/big_panda_dataframe.ipynb |
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import pandas as pd
fr... | tabular-playground-series-nov-2021/step.4.output.ipynb |
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import os
import numpy as np
import pa... | Final-Project/Final_project_code.ipynb |
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import tensorflow as tf
import os
import cPickle
i... | coding-259-master/coding-259/py2/04-advanced-conv/inception_net.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 26Octubre.ipynb |
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# + [markdown] id="evYH-h0dT9wC" colab_type="text"
# ... | notebooks/integrated_gradients.ipynb |
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# <NAME>, 15CE31015
# Department of Civil Engine... | Warren+Truss+optimization.ipynb |
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# # String-ek
# Pythonban egy string-et vagy szimpla ... | ures/02-Stringek.ipynb |
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# + [markdown] id="0S97dX12l3sT"
# # **Pape... | STGAN/main.ipynb |
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# # Вычисление мультифрактального спектра с использова... | multifractal_spectre_with_stat_sum.ipynb |
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import pandas as pd
import json
import os
data = []
... | hw3.ipynb |
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# ## CIFAR 10
# %matplotlib inline
# %reload_ext auto... | fp16/cifar10-fp16-speed-test.ipynb |
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from coco_dataset import CocoDataset
from utils import... | src/test_vgg_16_original_output.ipynb |
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from keras.models import Sequential
import numpy as n... | learn/keras/.ipynb_checkpoints/keras_start-checkpoint.ipynb |
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# # Perform fCUBT on the data
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# Load packages
imp... | canadian_weather/03-fcubt.ipynb |
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# A short tutorial for analyzing a [Design of Experime... | experiments/Backup/3DP SWX1 Cost.ipynb |
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import cv2
import csv
import sys
import operator
i... | 4_detector/Untitled.ipynb |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2020 The... | site/en-snapshot/guide/advanced_autodiff.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | notebooks/interpolation_examples.ipynb |
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# ## 파일 입출력
# +
# ./ => 현재 폴더
# ../ => 상위 폴더
# ./tes... | python_basic/Week5_file_input,output,function,list,dict.ipynb |
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# ## Helper functions for CW1
# Code provided in this ... | coursework1/test.ipynb |
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# # Psi4 $\leftrightarrow$ NumPy Data Sharing
#
# The ... | Example/Psi4Numpy/01-Psi4Numpy-Basics/1c_psi4-numpy-datasharing.ipynb |
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# # R
# ### R is a widely used statistical programming language. R work... | R - Walkthrough.ipynb |
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import astropy as ap
import healpy as hp
im... | planck_1.ipynb |
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# # Experiments on multithread execution
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import s... | training/src/tests/tests/python/threads_experiments.ipynb |
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# # Create and process custom DB of modifie... | Processing_notebook/1902_Bile_acids-unique_AA_v3.ipynb |
# # Predicting Airline Delays - Final Notebook
# ###### W261 Spring 2020
# ###### Presentation Date: April 16th, 2020
# ###### Team 20: <NAME>, <NAME>, <NAME>, & <NAME>
# ## I. Question Formulation & Introduction
#
# As we've all probably experienced at some point in our lives, air travel is never easy. Whether you'r... | W261_SP20_FINAL_PROJECT_TEAM20.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PythonclassP13.ipynb |
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print(10 + 3)
print(10 - 3)
print(10 * 3)
print(10 ... | notebook/arithmetic_operator_num.ipynb |
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# ## Chart layout
#
# Vizzu has three separate parts of the... | docs/tutorial/01_14_chart_layout.ipynb |
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# # scikit-learn-linear-reg
# Credits: Forked from [P... | data-science-ipython-notebooks/scikit-learn/scikit-learn-linear-reg.ipynb |
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# # Getting Started with Images
#
# In this noteboo... | Mod01/Exercise 01 - Getting Started with Images.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | Data Science Resources/Jose portila - ML/05-Seaborn/06-Matrix-Plots.ipynb |
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# # Python Pandas Tutorial: A Complete Introduction fo... | Workshops/NNFL workshop 1/Pandas_Matplotlib .ipynb |
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# %matplotlib inline
from pylab import rcParams
rcPara... | regression/logistic regression.ipynb |
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# # Libraries import
import matplotlib.py... | prediction_and_selection/ROR_gamma_active_QED_Lipinski.ipynb |
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# <a href="https://colab.research.google.com/github/wi... | Text/2_words_embedding.ipynb |
# -*- coding: utf-8 -*-
# # 基本功能
#
# ## 介绍
#
# Julia Base 中包含一系列适用于科学及数值计算的函数和宏，但也可以用于通用编程，其它功能则由 Julia 生态圈中的各种库来提供。函数按主题划分如下：
#
# 一些通用的提示：
#
# * 可以通过 `Import Module` 导入想要使用的模块，并利用 `Module.fn(x)` 语句来实现对模块内函数的调用。
#
# * 此外，`using Module` 语句会将名为 `Module` 的模块中的所有可调函数引入当前的命名空间。
# * 按照约定，名字以感叹号（`!`）结尾的函数会改变其输入参数的... | zh_CN_Jupyter/doc/src/base/base.md.ipynb |
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import numpy as np
import pandas as pd
import tens... | lstm_stock_pred_v1/lstm_stock_pred_v1.ipynb |
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import datetime
import json
import pandas as pd
im... | blockchain/Circulating Supply.ipynb |
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# This example was adapted from https://www.cs.jhu.edu... | examples/SpamVsHam Images.ipynb |
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import torch
import torch.nn as nn
from dataclasse... | examples/ConvFeatureExtractionModel.ipynb |
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# + id="WcMtS6fVdb-S" executionInfo={"status": "ok", "timestamp": 16132444262... | .ipynb_checkpoints/logistic_reg_misses-checkpoint.ipynb |