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# + [markdown] id="9aSTkPJcoCGf"
# ![JohnSnowLabs](https://nlp.johnsnowlabs.c... | tutorials/PySpark/8.PySpark_CustomAnnotators_UDF_and_Lightpipelines.ipynb |
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# # End-To-End Example: Get Calories For Popular Beers... | content/lessons/08/End-To-End-Example/ETEE-Beer-Calories.ipynb |
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import nltk
from nltk.corpus import reuters
nltk.dow... | NLP.ipynb |
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# <hr style="border-width:2px;border-color:#84C7F7">
#... | starting_kit/tutorial.ipynb |
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import tweepy
import pandas as pd
import matplotli... | SentimentAnalyzerBot.ipynb |
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// [, the free energy is com... | unmaintained/_GL_alt/Python_notebooks_KL_new/EMUS_scripts/Comp_EMU_PMF(step3).ipynb |
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import matplotlib
import matplotlib.pyplot as plt
... | Notebookmatplotlib02.ipynb |
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import numpy as np
import pandas as pd
from collection... | notebooks/01.01_PL_sentiment_analysis_2020_05_13.ipynb |
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# # Atelier 1 : Apprentissage et classification Automa... | 1-Apprentissage_supervise_et_non_supervise.ipynb |
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# # Working with Text Data
# This notebook is about stri... | 04-Introduction to Pandas/05-Working with Text Data.ipynb |
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# + [markdown] deletable=true editable=true
# # Condit... | ConditionalProbabilityExercise.ipynb |
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# + [markdown] de... | examples/arccssive_training.ipynb |
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import matplotlib
import matplotlib.pyplot... | src/exps_notebooks/bar_chart.ipynb |
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# default_exp callback.experimental
# ... | nbs/060_callback.experimental.ipynb |
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# ###### Content under Creative Commons... | lessons/05_relax/05_04_Conjugate.Gradient.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# default_... | 00_encoder.ipynb |
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# # B+ Trees
c... | B+ Tree.ipynb |
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from selenium import webdriver
from selenium.webdriver... | src/.ipynb_checkpoints/Untitled3-checkpoint.ipynb |
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# # Visualize Neural Network
# +
import warnings
warn... | docs/notebooks/Visualize-NeuralNetwork.ipynb |
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# # Linear regression tutorial
#
#
# ##### improved fr... | LinearRegression/LinearRegression_tutorial.ipynb |
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# # Plot Loop-Closure-Detection
#
# Plots statistics o... | scripts/plotting/jupyter/plot_lcd.ipynb |
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# # This notebook is for BGS specific results
... | Sandbox/SV3BGS.ipynb |
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# # MNIST Character Detection
# ## Impleneted by CNN using tensorf... | MNIST_kaggle.ipynb |
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list_of_dataframe = []
rows_in_a_chunk = 10
num_chun... | Chapter05/.ipynb_checkpoints/Exercise 5.05-checkpoint.ipynb |
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import pprint
print([100] > [-100])
print([1, 2, 100... | notebook/list_2d_sort.ipynb |
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# # ProtoNN in Tensorflow
#
# This is a simple noteboo... | examples/tf/ProtoNN/protoNN_example.ipynb |
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# # Watch Me Code 2: The Need For Exception Handling
#... | lessons/03-Conditionals/WMC2-The-Need-For-Exception-Handling.ipynb |
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# ## Import Statement
from pyspark.sql import SQLCont... | Average_load_profile.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | TensorFlow In Practice/Course 3 - NLP/Course 3 - Week 2 - Exercise - Answer.ipynb |
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# fds.datax
# --------
#
# fds.datax offers instant ac... | examples/fds.datax Overview.ipynb |
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# ## 加载模型
#
# +
import os
import json
import tim... | test.ipynb |
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# # Create a logistic regression model to predict seve... | explore/confounding/confounding.ipynb |
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# Temp1, Temp2 Temp3 e Temp4 são temperaturas medidas ... | notebook/Desafio Radix.ipynb |
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# # Condensed Matter Physics
#
# University of Sydney
# April 2020
#
# ## Lecture 17
# N and A separate
| Lecture 18/Lecture 18.ipynb |
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# # Welding Example #02: TCP movements and Weaving
# In this exam... | tutorials/welding_example_02_weaving.ipynb |
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import numpy as np
from scipy import signal, io
from m... | telemetry/quickviews.ipynb |
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import pandas as pd
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import os
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import numpy as np
import pandas as pd
import datetime... | Data cleaning of MSFT.ipynb |
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# # English Premier League VAR Analysis
# ## Part 3 - ... | 03_Team_Analysis.ipynb |
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# # Further Python Basics
names = ['alice', 'jonatha... | deliver/08-More_basics.ipynb |
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# ## Basic training functionality
# + hide_input=true... | docs_src/basic_train.ipynb |
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# # Glue Tests
#
from myst_nb import glue
glue("key_... | tests/notebooks/with_glue.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ![t... | notebooks/SQL_Bootcamp_Stern_2016.ipynb |
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# + id="8F4l1VYwjCyU" colab_type="code" colab={}
import numpy as np
import pa... | src/MergingData_TempPrediction .ipynb |
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# <center><img src="../images/DLI Header.png" alt="Hea... | nvdli-nano/classification/classification_interactive.ipynb |
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# # 11 ODE Applications (Projectile m... | 11_ODE_applications/11-ODE-applications.ipynb |
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#Importações
import os
import numpy as np
import panda... | notebooks/03_ModelSelection/20200101_ModelSelection.ipynb |
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# # Functions
# +
def my_first_function():
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# <a href="http://cocl.us/pytorch_link_top">
# <im... | 5.2.2bad_inshilization_logistic_regression_with_mean_square_error_v2.ipynb |
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# Working out some issues with the Ticktock class and ... | cuspStudy/.ipynb_checkpoints/Datetime Notebook-checkpoint.ipynb |
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# +
class Quaternion(np.ndarray... | examples/quaternion_rewrite.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MS_AI/03.ipynb |
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# + [markdown] colab_type="text" id="_jQ1tEQCxwRx"
# ##### Copyright 2019 The... | site/en/r2/tutorials/generative/dcgan.ipynb |
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import pickle
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# **Importing libraries for the model**
# import the ... | Model/final assignment part2.ipynb |
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# ### EXP: Beta2 QC rating
# - **Aim:** Second attem... | notebooks/Beta2_zooniverse_QC_results.ipynb |
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# ## Compare candidate-entities_v1 vs candidat... | DATA_format_JSON/python_stuff/Comparing_candidate_entitiesv1_v3.ipynb |
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# %run ../common-imports.ipynb
# # DBSCAN... | notebook/cluster/dbscan_common.ipynb |
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# + [markdown] id="vhzqCR6gjMv9" colab_type="text"
# **Coding Challenge** #**... | Week 08 Unsupervised Learning/Code Challenges/Day 4 Collaborative Filtering.ipynb |
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# # USAID Sites and Geospatial Intelligence
# T... | Connecting Site and Geospatial data.ipynb |
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# # パーセプトロン
# ## 簡単な実装
# 入力が２つの場合の実装としてANDゲートのイメージ
# ... | day003/perceptron.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/ShakespeareanText_Generator.ipynb |
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# Upload data to sqlite tables.
... | feature_extraction_seq2seq.ipynb |
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# # Pilatus on a goniometer at ID28
#
# <NAME> who was... | doc/source/usage/tutorial/ThickDetector/goniometer_id28.ipynb |
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def apply_word_dropout(matrix, keep_prop, replace_with... | notebooks/Experiments_Text_Classification_WV.ipynb |
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#@title Copyright 2020 Googl... | python/examples/ipynb/Uploading_image_tiles_as_a_single_asset_using_a_manifest.ipynb |
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import math
import collections
import numpy as py... | working with lists.ipynb |
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# # Leaflet cluster map of talk locations
#
#... | _all_talks_for_maps/talkmap.ipynb |
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# # Lotka-Volterra Work-Precision Diagrams
#
# Ada... | benchmarks/nonstiff-lotkavolterra.ipynb |
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# ## LiDAR Basics with VLP-16
#
# LIDAR—Light Detectio... | tutorial/LiDAR Basics with VLP-16.ipynb |
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# # Preprocess data with TensorFlow Transform
# cred... | Learning_TFX/TF_Tutorial/TF Transform .ipynb |
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# name: python385jvsc74a57bd0849be1930e84a28d... | model.ipynb |
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# # Tennis
#
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#
# In this notebook, we will train MADD... | Tennis/Tennis.ipynb |
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import pandas as pd
import numpy as np
import mi... | notebooks/cleaning/2019RZcleaning.ipynb |
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# # Building your Deep Neural Network: Step by Step
#
... | 1. Neural Networks and Deep Learning/Week 4/Building your Deep Neural Network - Step by Step/Building your Deep Neural Network - Step by Step v8.ipynb |
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# + [markdown] nbgrader={}
# # Interpolation Exercise ... | assignments/assignment08/InterpolationEx02.ipynb |
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# # Autonmous driving - Car detection
# +
import argp... | MyNotebook.ipynb |
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# + [markdown] id="PaDZ4sMpmgsE" colab_type="text"
# # Load library
# + id="... | examples/Simulation_supervised.ipynb |
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import pandas as pd
import datetime
cities = pd.read_... | Assets/cities.ipynb |
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# + [markdown] colab_type="text" id="SFDpSxHixpvk"
# <... | code/rainfallSimulator_NNVersion.ipynb |
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# ### Import Needed Libraries
# +
import numpy as np... | _jupyter/2018-10-09-mc-pokemon.ipynb |
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# # Sentiment Analysis
#
# ## Using XGBoost... | Mini-Projects/IMDB Sentiment Analysis - XGBoost (Hyperparameter Tuning) - Solution.ipynb |
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# ![ROOT Logo](http://root.cern.ch/img/logos/R... | notebooks/DistROOT.ipynb |
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# -*- coding: utf-8 -*-
"""
@description: Shopping... | Python/Shopping-list.ipynb |
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import torch
import torchvision
import torchvision.tra... | notebooks/torchvision-example.ipynb |
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# # Batman, ecuaciones y python
# *Esta notebook fue ... | content/notebooks/Batman.ipynb |
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#export
#hide
import typ... | core.ipynb |
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from... | tipping_points_case3_hoch-ybrig.ipynb |
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# # Design of a Cold Weather Fuel
# The v... | Mathematics/Mathematical Modeling/06.07-Design-of-a-Cold-Weather-Fuel.ipynb |
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import numpy as np
total_output = """timestamps LikelihoodGradientJob::update_workers_state: 112610684029... | 20210410_analyze_performance_timestamps/kladblok timestamps verwerken.ipynb |
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# # Analysis of Models using only MIMIC Notes
# ## Im... | mercari/results.ipynb |
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# # I. Overview of Mach... | ai_etc/I_Overview.ipynb |