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# ---
# title: "Match US and UK Spellings"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Match US and UK spellings in Python."
# type: technical_note
# draft: false
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# + [markdown] colab_type="text" id="fHVjA8Qq74jm"
# #... | project/notebooks/Text Classification - Flair.ipynb |
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# # day_006_collections_module_wine_dataset
# +
from ... | talkpython/100-days-of-code-in-python/my_progress/day_006_collections_module_wine_dataset.ipynb |
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# # Federated Learning with Diff Privacy using PySyft
... | examples/torch/Boston_Housing_Federated_Training with Diff Privacy SERVER.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CommentGPT2.ipynb |
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# nuclio: ignore
# if the nuclio-jupyter package is no... | docs/nlp-example.ipynb |
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pip install datetime
pwd
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import pandas as pd
imp... | WebVisualizations/Resources/data_source.ipynb |
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# # Analysis of MCM-41 Potential
import numpy as np
i... | Notebooks/MCM41_structure_analysis.ipynb |
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# # Before class
#
# ## Go to ledatascifi.... | lectures/L01_intro_github.ipynb |
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# # FeatureHub Tutorial
#
# In this tutorial, we will ... | share/appdata/notebooks/demo/Tutorial.ipynb |
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#... | .ipynb_checkpoints/demo-checkpoint.ipynb |
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# # Staying Positive
# + tags=["hide_input"]
# %matpl... | notebooks/StayingPositive.ipynb |
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# https://towardsdatascience.com/unsupervised-machine-... | darkStar2.ipynb |
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import pandas as pd
from pandas import Series,Data... | Data Preprocessing/sales.ipynb |
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import drivers
import params
import vumps
import matri... | vumps.ipynb |
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# +
import brightway2 as bw
import numpy as np
import ... | dev/write_files/archived/import_consumption_ei35.ipynb |
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# # Learning Curves para Machine Learning
# # 01 - O ... | modules/ai-codes/modules/concepts/learning-curves-for-ml.ipynb |
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# Importing essential libraries
import numpy as np
imp... | Predicting Admission into UCLA/Predicting Admission into UCLA.ipynb |
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# Playing with testing timings for sort algorithm
# r... | time_sort_algorithms.ipynb |
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# + [markdown] id="Tce3stUlHN0L"
# ##### Copyright 2020 The TensorFlow Author... | site/ko/guide/tensor.ipynb |
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# + colab={} colab_type="code" id="cQ0H-RyAp_2T"
# %ma... | notebooks/example_exoplanet_transit_mcmc_fitting_tutorial_multi-mcmc_xcenter_starrydev.ipynb |
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# name: python380jvsc74a57bd08fb92b48d48151ff7ced0df4310d8fbd2b7e40... | RNN Sentiment Classifier/rnn_sentiment_classifier.ipynb |
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# # Pairs Selection using Cointegration Tests & Kalman... | 09_time_series_models/06_statistical_arbitrage_with_cointegrated_pairs.ipynb |
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# ## Projeto de um duto convergente compressível
# <br... | exemp09002.ipynb |
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#convert input into a list
with open("input.txt") ... | Day 1.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | data visualization/wbur_wgbh_processing.ipynb |
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# + deletable=true editable=true
import pandas as pd
i... | annotationFinalForStrVCTVRE.ipynb |
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# -- View Topology of Network
# Lighter color connecti... | fdm/fdm_code/Visualization_WANN.ipynb |
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# ### Clinical BCI Challenge-WCCI2020
# - [website lin... | EEG-HandGrasp-Classification/.ipynb_checkpoints/10. Cross Subject Classification with EEGNet -checkpoint.ipynb |
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import logging
import os
import numpy as np
i... | scripts/cnn_evaluation.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="6wxtEPndx0g6" outputId=... | RegressionMetricsDemo.ipynb |
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# # Exam project
# +
#import package
import random
i... | examproject/examproject.ipynb |
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# Change directory to VSCode workspace root so that relative path loads work correctly. Turn this addition off with the DataScience.changeDirO... | notebooks/predictions_for_competition.ipynb |
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# hash: c5b8762d3a44eed5d24... | notebooks/Toeplitz Example.ipynb |
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# ## Initialize the environment
# +
from pathlib impo... | SOC412/PRAW Messenger.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={"slide_type": "slide"}
# # T... | fundamentals/training_models.ipynb |
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# +
import numpy as np
import pandas as pd
import ipdb... | scratch/GalSim_application_v2.ipynb |
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import numpy as np
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class Organism(object):
... | simulation/organisms.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | demo/HuggingFace/notebooks/gpt2.ipynb |
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# # 列表List
# - 一个列表可以储存任意大小的数据集合，你可以理解为他是一个容器
# ## 先来... | 7.25.ipynb |
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# <NAME>, HIV Model
# +
# Configure Jupyter so figure... | code/HIVmodel.ipynb |
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## Python packages - you may have to ... | notebooks/Congress_Text_Analysis.ipynb |
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# # SARS strains and proteins co-occurence
# ## Proto... | antigen_scoring/notebooks/SARS_proteins_co-occurence.ipynb |
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# ## Boston House Predictor
#
# In this notebook we wi... | .ipynb_checkpoints/Boston House Predictor-checkpoint.ipynb |
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# # Mask R-CNN - Train on Own Dataset
# +
import os
i... | train_own_dataset.ipynb |
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# # Sparse Document Retriever - Experimento
#
# Preenc... | tasks/nlp-sparse-document-retriever/Experiment.ipynb |
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from stockstats import stockstats
import numpy as np
... | test/test_stockstats.ipynb |
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# # Notebook Two
#
# This notebook is being created ni... | nbcollection_tests/ci/tools/template/multi-notebook-category/collection_one/alot-of-notebooks/Notebook-Two.ipynb |
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# # Pixel-based Area Preserving Distance Optimization
... | area-preserving-distance-optimization/Pixel-based Area Preserving Distance Optimization.ipynb |
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import numpy as np
from numpy import array
import ... | predict_file.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PHYTON_1.ipynb |
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# ## Promises
#
# As Promises foram introduzidas à especificação do JavaScript em 2015, como ferramenta de melhoramento da legibilidade d... | Node/Teorico/Promises.ipynb |
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# layout: post
# title: "Test Jupyter"
# date: 2021-10-24
# author: <NAME>
# tags: [python]
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# Dependencies and Setup
import pandas as pd
# Fi... | HeroesOfPymoli/heroes.ipynb |
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# # Introduction to Volume, Slippage, and Liquidity
# ... | quantopian/lectures/Introduction_to_Volume_Slippage_and_Liquidity/notebook.ipynb |
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# # Estrucutas de datos
# En términos prácticos las _... | Estructuras_de_Datos/Estructuras_de_Datos.ipynb |
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# # **밑바닥부터 시작하는 데이터과학**
# Data Science from Scratch
#... | 12.NaiveBayse.ipynb |
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# # Индекс поиска
# +
import numpy as np
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# http://shanghai.sodachallenges.com/data.html
import... | code/ mobike_soda.ipynb |
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from elasticsearch import Elasticsearch
import pan... | lab/main.ipynb |
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# # Markov Networks
#
# <img style="float: right; marg... | Modulo1/Clase3/MarkovNetworks.ipynb |
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# Zhang and Yeung showed in [ZY97] that the Shanno... | examples/Zhang-Yeung_inequality.ipynb |
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# # Pruning Demo
#
# + pycharm={"is_executing": false... | lth_reproduction/notebooks/pytorch_pruning.ipynb |
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# %matplotlib inline
a=[1,2,3,4,5]
b=[1,3,2.5,3,5]... | lessons/python/matplotlib/plot.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | jupyter/lgb_baseline.ipynb |
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import numpy as np
import h5py
import petl as etl
impo... | notebooks/profiling/tajima_d.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/bst_second_largest/bst_second_largest_solution.ipynb |
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# %matplotlib inline
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# "Geo Data Science with Python"
# ### Notebook Exerc... | Exercise04b_Dictionaries.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Week 3 Project/Week 3.ipynb |
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# # TESTSpotify EDA
#
# Here we will use the spotify a... | Python/Spotify Analysis/TEST SPOTIFY!.ipynb |
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# # Lab 3 (Part B): Classification with kNN
#
# <div c... | Labs/Lab3_Classification/Lab 3 - Part B - Classification with kNN.ipynb |
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# + id="e7juykRx9-_j" outputId="c5d156e2-7513-4191-cd64-713ae5ce32c5" colab={... | AssociationRuleMining.ipynb |
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# + pycharm={"name": "#%%\n", "is_executing": false}
p... | main.ipynb |
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# %matplotlib notebook
import numpy as np
import t... | VillarCurves/Fitting_First_Half_Of_A_Villar_Curve.ipynb |
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# ---... | concepts/datastore/datastore-api.ipynb |
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# <img src="../fasp/runner/credits/images/FASPNotebook... | notebooks/FASPNotebook09-CRDC-BDC.ipynb |
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# # Intro to SML
# This is based on the noteb... | 2018_material/lectures/lecture1/lecture1.ipynb |
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# **Вопросы для повторения:**
# * `sizeof(unique_ptr)`... | 2019/sem1/lecture9_optimization_techniques/repetition.ipynb |
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prin... | Chapter3_Basics/Memory/Mutability.ipynb |
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# ## Libraries are helpful
import pandas as pd
import numpy as np
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import ... | Data-handling-and-preprocessing/pipeline.ipynb |
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# # Concise Implementation for Multiple GPUs
# :label:`sec_multi_gpu_concise`
#
# Implementing parallelism from sc... | python/d2l-en/mxnet/chapter_computational-performance/multiple-gpus-concise.ipynb |
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# + [markdown] id="4Pjmz-RORV8E"
# # Building abstractive text summaries
#
# ... | examples/09_Building_abstractive_text_summaries.ipynb |
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import ipywidgets as widgets
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impo... | .ipynb_checkpoints/working-checkpoint.ipynb |
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# # <u>IBM DATA SCIENCE PROFESSIONAL CERTIFICATE</u>
#... | Capstone_Project.ipynb |
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# # Lab Assignment 6
# <a href='https://courses.edx.or... | some_other_notebooks/Visualization/EDX_DAT210x_Visualizations_Assigment6.ipynb |
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import pandas as pd
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import matplotl... | ipynb/tutorials/pandas/Ten_Minutes_to_Pandas.ipynb |
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# $\newcommand{\xv}{\mathbf{x}}
# \newcommand{\wv}{\m... | reading_assignments/9_Note-NN for RL.ipynb |
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import QUANTAXIS as QA
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# %matplotlib nbagg
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# # PARAMETERS
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problem_name = 'template' #to sav... | mri_autoencoder.ipynb |
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import matplotl... | Homework Notebooks/Econ126_Winter2021_Homework_05_blank.ipynb |
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# # Validate ice layer and properties
# Here I try to... | notebooks/ice_layer_properties_validation.ipynb |
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# # Load libraries
import pickle, logging
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# # Riskfolio-Lib Tutorial:
# <br>__[Financionerionci... | examples/Tutorial 4.ipynb |
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# # Table: Retrieved Documents per query
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from tre... | src/retrieval-homogenity/table-retrieved-documents-per-query.ipynb |
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# + [markdown] colab_type="text" id="N4gK80ETXinB"
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