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# <a href="https://co... | Tutorial/Example Implementation Locust AL/Example.ipynb |
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# # Eventalign_collapse usage
# ## Bash command li... | tests/NanopolishComp_usage.ipynb |
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# -*- coding: utf-8 -*-
import sys
import chseg
im... | src_nlp/tensorflow/depreciated/cnn_seq_label_chseg_test.ipynb |
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# # Setup
# %reload_ext autoreload
# %autoreload 2
i... | notebooks/train-kekas.ipynb |
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# + [markdown] id="32-zMt7tZr3R"
# # Project: Image Data Augmentation
#
# [![... | 2.3.5 - Project - Data Augmentation/project_image_data_augmentation.ipynb |
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# # Analysis of the results
#
# This noteb... | {{cookiecutter.repo_name}}/investigate.ipynb |
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# -*- coding: utf-8 -*-
"""
Created on %(date)s
@author: %(<NA... | examples/FINAL-open_metal_detector.ipynb |
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# # Scalars
#
# Computer numbers and mathematical numb... | notebooks/copies/lectures/T01A_Scalars.ipynb |
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# + [markdown] hide_input=false slideshow={"slide_type... | beginner-lessons/computational-thinking/ct-1.ipynb |
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import tensorflow as tf
from tensorflow import keras
k... | DeepLearning/deep-learning-with-python-notebooks/2.1_a_first_look_at_a_neural_network.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | data-science-course/course1/week5/samples/CLT.ipynb |
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# + [markdown] id="WYJPIMozU1QV"
# ## 2. Data Analyst -... | 2_Data_Analyst.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotlib inline
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import logging
logger = logging.getLogger("logger_nam... | Chapter06/Exercise93/Exercise93.ipynb |
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# ### Let's get this out of the way first: **Julia... | jupyter_notebooks/julia/Julia_Basics.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
import pan... | notebook/ols_pcr_pls.ipynb |
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# # Project 1: Findin... | Writeup_Calvin_Giddens.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | src/5_Fed_Funds_LDA.ipynb |
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# ## 1 - '시퀀스 투 시퀀스' 신경망 학습
#
# 이 시리즈에서는 PyTorch 및 Tor... | AI 이노베이션 스퀘어 음성지능 과정/20201101/1 - Sequence to Sequence Learning with Neural Networks.ipynb |
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import numpy as np
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import keras
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from tensorflow.python.client impor... | CNN.ipynb |
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import pandas as pd
df = pd.read_csv('he... | defunct_notebooks/defunct_heart_diseaseP.ipynb |
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# # sklearnで、交差検証ありのコード
# +
import numpy as np
import... | sk_kfold_caret.ipynb |
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# 教程：
#
# + [Python 笔记：最全Matplotlib 入门教程](http://www.i... | preparing/.ipynb_checkpoints/MatplotlibDemo-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="klGNgWREsvQv"
# #... | site/en-snapshot/agents/tutorials/6_reinforce_tutorial.ipynb |
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# <a href="https://colab.research.google.com/github/DingLi23/s2search/blob/pi... | pipelining/exp-csma/exp-csma_csma_shapley_value.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
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# # Lab Environment for BIA Pipeline
#
# Th... | 1-Built-In-Algorithm/03.MLOps-BIA-LabNotebook.ipynb |
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# Load essential libraries
import csv
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# + [markdown] id="view-in-github" colab_type="text"
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# # 1. Clean and Explore
# This notebook contains t... | notebooks/Clean_and_Plot_Contiguous_USA_Covid_Cases.ipynb |
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# ### Historical Shape Indicator (HSI), Visa Market
... | Initial Stage/Visa_shape_r7.ipynb |
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# <a href="https://colab... | 26. Remove Duplicates from Sorted Array.ipynb |
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# + [markdown] _uuid="bc1fc0c4871172130a51e7c2d5058fdd... | Jupyter notebook/IBM/python for data science/dictionaries.ipynb |
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# # Introduction
#
# Here, you'll use different types ... | notebooks/sql_advanced/raw/ex1.ipynb |
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import numpy as np
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# # TFX Components Walk-through... | notebooks/tfx_pipelines/walkthrough/labs/tfx_walkthrough_vertex.ipynb |
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import pandas as pd
import seaborn as sns
import matpl... | [03 - Results]/dos results ver 1/dataset fetch/2-fft-malicious-n-0-3-m-9.ipynb |
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# # Stepfinder, find steps in data with low SNR
# + a... | notebooks/stepfinder.ipynb |
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# # Labeled Faces in the Wild
#
# http://vis-www.cs.um... | HaarProfile/haarCascade_lfw_size.ipynb |
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from awesome_panel_extensions.awesome_panel.notebook i... | examples/reference/panes/WebComponent.ipynb |
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# # Welding Experiment Design
# + nbsphinx="hidden"
# enab... | tutorials/experiment_design_01.ipynb |
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# # Juntando R y Python
import pandas as pd
import nu... | notebooks/T11 - 1 - R y Python.ipynb |
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# + [markdown] deletable=true editable=true
# # Findin... | SimilarMovies.ipynb |
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# <small><small><i>
# All the IPython Notebooks in **P... | 005_Python_for_Loop.ipynb |
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import os
import numpy as np
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... | mask_detection_tensorflow_keras_transfer_learning.ipynb |
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# ## Notebook Object
# #### 1. Finds:
# - long... | notebooks/sandbox_Boulder.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
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# # 一些你可能不知道、但有必要知道的python知识点
# 1. OrderedDict
# 2. 以... | module.ipynb |
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import pickle
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i... | nb/093020_visualize_tsne.ipynb |
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import MySQLdb
data = ["172.16.17.32",
"... | practice/database_quiz_code_joohyunjoon3.ipynb |
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df = pd.read_csv('l191.csv')
df['zipco... | db/Untitled.ipynb |
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# + [markdown] nbsphinx="hidden"
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import requests
# !pip install fake_useragent
from fa... | Untitled.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Unscen... | NIS_visualization.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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conda install -c conda-forg... | module4-model-interpretation/Untitled1.ipynb |
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# %load_ext autoreload
# %autoreload 2
# # Unbiased ... | notebooks/debias-ecmwf-04-tp.ipynb |
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# !pip install PyDrive2
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from pydrive2.auth import... | Archivos Drive.ipynb |
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# <a name="building-language-model"></a>
# # Building ... | Natural Language Processing with Probabilistic Models/week3-Building the language model.ipynb |
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import pandas as pd
import numpy as np
import jso... | testing_stuff.ipynb |
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# # Modularity and Community Detection
# +
# %matplot... | Modularity/ModularityCommunityClustering.ipynb |
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# # Google Mobility Data Visualization
#
# ## <NAME>
#... | covid19-notebooks/google_mobility.ipynb |
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import math
im... | samples/demo_tf.ipynb |
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for x in array:
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# + raw_mimetype="text/restructuredtext" active=""
# .... | doc/source/tutorials/Networks.ipynb |
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# ### Ejercicio 1
#
# A partir de la API de Pokemon, se pide generar un DataFrame como el de la imagen con las columnas:
#
# - **"height","id... | API_Pokemon/api_pokemon_dataframe.ipynb |
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# + [markdown] id="ZaAQc-XXhwDl" colab_type="text"
# # Sample Steam Reviews w... | word_level_rnn.ipynb |
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# + [markdown] colab_type="raw" id="_5KgGZt_QES3"
# ==... | BCI_new.ipynb |
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# name: python385jvsc74a57bd0ef8d51b6e765846ba3dbc6b588704097c20c1d9961af5b0a6ba5d38dba7e... | python-for-data/Ex04 - Lists.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | patch/ConfidenceIntervals_py.ipynb |
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my_list = [1,2,3]
for item in my_list:
print(f'Ite... | module2-oop-code-style-and-reviews/DSPT1_LS312_OOP.ipynb |
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# # EDA & Feature Engineering
# @Author... | notebooks/eda_ft_engineering.ipynb |
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import torch
import torch.nn.init
import torchvision
from tor... | Tutorials/.ipynb_checkpoints/11_CNN_CIFAR-10-checkpoint.ipynb |
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# ## <span style="color:Blue"> Feature Selection : Em... | Feature_Engineering/Feature_Selection_Tutorial_10_11_Embedded_Method.ipynb |
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# # Ising fitter for capped homopolymer repeat protein... | homopolymer_fit/ising_fitter_homopolymer.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | svd_derivative.ipynb |
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% # Condition numbers
%
% In numerical computing, we const... | matlab/Conditioning.ipynb |
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# ## Target guided encodings
#
# In the previous lectur... | 06.05-Ordered-Integer-Encoding.ipynb |
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# # Comparison to CCL
#
# This notebook compares the i... | docs/notebooks/CCL_comparison.ipynb |
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# + [markdown] id="xyVv1tr3ZLt5"
# # BERT4Rec on ML-1m in PyTorch
#
# In this... | _notebooks/2022-01-19-bert4rec-movie.ipynb |
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List1 = ['Nurul', 'Tauhid', 'Sohel', 'Tauhid', 0, 1, 2... | Sets.ipynb |
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# +
import pandas as pd
import numpy as np
import matp... | projects/causal moneyball/Causal-analysis-on-football-transfer-prices/Pre-processing notebooks/generating_from_league.ipynb |
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# +
class Business(object):
def __init__(sel... | ds_and_alg/.ipynb_checkpoints/Identify Chain Businesses-checkpoint.ipynb |
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# ## Tox 21 dataset exploration
#
#
... | examples/tox21/tox21_dataset_exploration.ipynb |
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# # CSCA08 - LEC01
# # Week 9
# ## November 12th, 12:0... | CSCA08/Week 9/CSCA08 - Nov 12th.ipynb |
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# # Attention Basics
# In this notebook, we look at ho... | attention/Attention Basics.ipynb |
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% matplotlib inline
import numpy as np
import mat... | 4/l4.ipynb |
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import pandas as pd
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from utilities import ge... | eye_size_when_closed.ipynb |
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# # Diginetica Baseline Recommender
# + executionInfo={"elapsed": 728, "stat... | _notebooks/2022-01-27-diginetica-baseline.ipynb |
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# <h1 align=center >Feature Extraction</h1>
#
# The `s... | Datasets transformations/ML0101EN-11-Feature extraction .ipynb |
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# # Transfer Learning
# A Con... | ComputerVision/3-Fine tuning & Overfiting/2-Applying Transfer Learning (Keras).ipynb |
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# <h1 align='center'>9.2 Plotting with pandas and seab... | Python-For-Data-Analysis/Chapter 9 Data Visualization/9.3 Plotting with pandas and seaborn P I.ipynb |
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# # Image Classification using `sklearn.svm`
# +
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Transfer Learning using CIFAR-10 dataset/cifar-10-transfer-learning.ipynb |
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# # Notebook 3.1: Web-App (UFOS!!)
#
# In this notebook we will tr... | 3-Web-App/1-Web-App/notebook.ipynb |