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# ### Using Documentation
#
# Let's start by using the... | quantum gravity/Getting Started/Finding an Inspiral Hardware Injection.ipynb |
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# Plot Antarctic Tidal Currents
# ====================... | notebooks/Plot Antarctic Tidal Currents.ipynb |
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# HIDDEN
from datascience import *
import numpy as np
... | notebooks/06/3/Example_Trends_in_the_Population_of_the_United_States.ipynb |
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import _init_paths
from pycocotools.coco ... | exp/Untitled.ipynb |
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one_kb = 1024
one_mb = one_kb * 1000
ten_mb = 10 *... | RLNC_performance_study.ipynb |
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# # Derive insights on Olympics data us... | notebooks/node_red_dsx_workflow.ipynb |
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import numpy as np
from skimage.feature import h... | Untitled.ipynb |
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# + [markdown] id="0v3ctlNtuqiT" colab_type="text"
# # Google CoLab GPU demo
... | colab-examples/colab-nn4omtf-demo-gpu.ipynb |
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import string
alphabet = " " + string.ascii_lowercase
... | Case Study Caesar Cipher.ipynb |
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# # 3.1 Read write data from postgresql server
#
# The... | notebooks/pysparkbasics/L03_ReadFromVariousDataSource/01_ReadFromPostgresql.ipynb |
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# %pip install --upgrade pip
# %pip install vega_d... | template.ipynb |
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# # NASA Web World Wind Server
# #### NASA Web World W... | Visualisation_Tools/NASA_WebWorldWindServer.ipynb |
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# # How is the Database Structured?
#
# The goal of th... | book/tutorials/database/2_database_structure.ipynb |
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import glob
import nbformat
# -
notebooks = glo... | PreviousDevelopment/BlackNotebook.ipynb |
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# # Sparkify Project Workspace
# This workspace contai... | Sparkify (1).ipynb |
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# + active=""
# [[ch11]]
# -
# # Productionization
#... | ch11.ipynb |
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class Dog:
def __init__(self):
# w... | Python Tutorial Advanced/1_intro.ipynb |
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# # Matrix multiplication tutorial
#
# This tutorial d... | doc/source/matrix_multiplication.ipynb |
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# # Python:
# ## basic features
# https:/... | python_basics.ipynb |
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from train import train_val_split, plot_hi... | project/dev.ipynb |
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# Remember the problem in... | notebooks/02/variables_intro.ipynb |
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import matplotlib.pyplot as plt
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# Copyright 2021 Google LLC
# Use of this source code is governed by an M... | pml1/figure_notebooks/chapter3_probability_multivariate_models_figures.ipynb |
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# Центр непрерывного образования
#
# # Программа «Pyth... | hw2-SadykovDF.ipynb |
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# ## Settings
need_to_encode = False # if you need to... | Experiment.ipynb |
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# LOAD LIBRARIES
import numpy as np, pandas as pd, os
... | 00000000_convert_jpg_to_tfrec.ipynb |
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# # Missing Data
import numpy as np
import pandas as ... | Pandas/Missing Data.ipynb |
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# default_exp strategy
# + [markdown] tags=[]
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# + deletable=true editable=true
#This is ... | pdblp.ipynb |
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# + [markdown] id="AMcYmaGW8myY"
# # Imports
# + id="sjKy8uf6xAkS"
import nu... | SPADE/Spade_GDXRay.ipynb |
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# # Homework 3: Relation extraction using distant supe... | hw3_rel_ext.ipynb |
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using Pkg
Pkg.activate(".")
... | primes/primes-umap.ipynb |
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# # Loss-based membership inference
# ## Intuitio... | demos/loss_based_membership_inference.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Data_Slicing_and_BoxPlots.ipynb |
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# + id="78dxzAAi9wbw"
# Importar nossos Frameworks
# Lib para modealgem de d... | Magalu_Data_Science.ipynb |
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# + [markdown] id="WE5BB7OQED8n"
# ## Crime Rates Dat... | Hands on/CS185C02-Sp21_ho3.ipynb |
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from poker import card, hand
c1 = card.Card('QD')
c2... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# https://github.com/Phlya/adjustText
import plotnine... | Python/plotnine_ggrepel.ipynb |
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# # PCA and dimensionality reduction
# Using PCA is a ... | machine_learning/unsupervised_learning/principal_component_analysis.ipynb |
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import urllib
from bs4 import BeautifulSoup
from selen... | src/LinkedIn_Profile_Retrieve.ipynb |
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# # Adversarial Audio Examples
#
# This notebook demon... | notebooks/adversarial_audio_examples.ipynb |
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# The number 512 is interesting because it is equal to... | 9_coding quizzes/04_digit_power_sum.ipynb |
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# # Introduction to Numpy
#
# Author: <NAME>
#
# ## ... | introPython/introPython.ipynb |
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# # geom_raster()
# +
import numpy as np
... | source/examples/basics/gog/geom_raster.ipynb |
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# ## Setup (ignore all this stuff, scroll down to Interpretability)
from __future__ import print_function
import os
import sys
sys.path.appen... | vm_setup/foreign/Ithemal/learning/pytorch/notebooks/Edge Free Validation.ipynb |
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# # Quantum music
#
# NOTE: this notebook follows the ... | notebooks/quantum_music.ipynb |
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# ## Scaling for containers and algorithms
# We've se... | ch08performance/050scaling.ipynb |
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# # IMDB 数据集使用BOW网络的文本分类
#
# **作者:** [PaddleP... | docs/practices/nlp/imdb_bow_classification.ipynb |
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# !pip install --user xlrd
# +... | clients/Mizuho/Reporting/src/main/resources/Load_Fund_NAV_MAI_DailyPL_Table.ipynb |
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# # Food Classification
... | finetuning1.ipynb |
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# # Text Classification in Cross-Validation using PAC ... | Algoritmi_ultimo/BOW_FILES/pac-7000.ipynb |
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# + [markdown] id="94DbVLBw-FHj"
#
# dizionario aggiornato, ma ricordarsi di ... | Code/duration_center_to_station.ipynb |
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# # Laboratorio 1 - Monty Hall
import numpy as np
im... | Laboratorio 1 - PEP - Monty Hall.ipynb |
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# # Data Cleaning & Text Pre-Processing on Amazon Food... | sentimentaal classification/T-SNE_Amazon_Food_Reviews/.ipynb_checkpoints/1_DataCleaning_TextPreprocessing_AmazonFoodReviews-checkpoint.ipynb |
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fish = [int(x) for x in open('day06.txt').read().split... | aoc_2021/day06.ipynb |
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# # Predictive Maintinance and Analysis of Back Blaze ... | backBlaze_EDA.ipynb |
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# + id="IBdp2S65tX2R"
import pandas as pd
import pandas as pd
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# # Feature: Intersections Weighted by Word Match
# ... | notebooks/feature-wm-intersect.ipynb |
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# # Using Text to Group Amazon Reviews
# ... | koodiesimerkit/Session 5 - Text Processing and Clustering.ipynb |
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# %matplotlib inline
from matplotlib import style
styl... | Bonus - Temperature Analysis/temp_analysis_2.ipynb |
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import torch
import nestedtensor
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# # Training and Deploying a scikit-learn m... | Chapter03/SKLearn/Training and Deploying a scikit-learn model with Amazon SageMaker Local Mode.ipynb |
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# # robot image table
#
# > watches all of the images ... | notebooks/aquilt.ipynb |
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import numpy ... | Parking_Project.ipynb |
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from os import listdir
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# + [markdown] id="rDngANAgzG-i" colab_type="text"
# # Approximate q-learning... | Week4_Approximate Value Based Methods/practice_approx_qlearning_pytorch_gpu.ipynb |
import pandas as pd
import numpy as np
pd.set_option('max_columns', 4, 'max_rows', 10, 'max_colwidth', 12)
# ### How to do it\...
fname = ['Paul', 'John', 'Richard', 'George']
lname = ['McCartney', 'Lennon', 'Starkey', 'Harrison']
birth = [1942, 1940, 1940, 1943]
people = {'first': fname, 'last': lname, 'birth': b... | pandas_cookbook/Chapter03/c3-code.ipynb |
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# ## Title similarity Doc2vec
# Load for Jupyter Note... | src/fake_news_detector/notebooks/doc2vec/text_all.ipynb |
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# ## Libraries
# ### Libraries are awesome
#
# The s... | ch04packaging/01Libraries.ipynb |
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# # Predicting Telco Customer Churn using SparkML on... | notebooks/machinelearning-churn-sparkmlmodel.ipynb |
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# # Download coun... | python/download-stats.ipynb |
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# **Appendix D – Autodiff**
# _This notebook contains... | 20_extra_autodiff/extra_autodiff.ipynb |
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from DeePyMoD_SBL.data import Burgers
from DeePyMo... | experiments/sparsity_burgers/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 25_Supervised Learning with scikit-learn/03_Fine_tuning_your_model.ipynb |
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# # ShapRFECV - Recursive Feature Elimination using SH... | docs/tutorials/nb_shap_feature_elimination.ipynb |
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# + id="y40dUKbCBp0b" colab={"base_uri": "https://loca... | Air_hockey_bot.ipynb |
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# # Here's a second notebook
import numpy as np
prin... | Second notebook.ipynb |
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# + id="UstYPsx2rr6H" colab_type="code" colab={"base_uri": "https://localhost... | Fashion_MNIST/Fashion_MNIST_FFT/TensorFlow_with_GPU.ipynb |
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# # Now You Code In Class: Getting Directi... | lessons/11-webapis/SmallGroup-WebAPIs.ipynb |
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# %matplotlib inline
# Plot features in adata.obsm
# ... | docs/source/auto_examples/plotting/compute_extract.ipynb |
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# # Algoritmos de Otimização
# No Deep Learning temos... | _notebooks/2021-04-02-otimizacao.ipynb |
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# Be sure to run the following notebooks first before ... | public-notebooks/EXTRA-build-expected-goals-model.ipynb |
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num = float(input('Digite um va... | Python/Exercicios_Curso_em_Videos/ex016.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/a-section/a-sec8/presentation/cs109b_asec8_code_gan.ipynb |
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# # Using Visualization to Make an Effective Case for ... | _notebooks/2019-02-12-VisualizationProject.ipynb |
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# # <div align="center"><font color='green'> </... | ruwanten-rmit-cosc2673_2793-2110-39ae685436a9/labs/week07/Week7_lab_exercises_solutions.ipynb |
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# + [markdown] id="TsT6r6c61-tx" colab_type="text"
# **Initial Steps**
# + i... | Chapter14/Activity14.02/Activity14.02.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Named tensor notation with funsors (Part 1)
# ## ... | tutorials/named_tensor_notation_i.ipynb |