code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import numpy as np
import matplotlib.pyplot as plt
fro... | Notebook/1-Radar-rx-tx-mix.ipynb |
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# # Enconding Natural Data
#
# One of the primary chal... | 08-recurrent-neural-networks/01-encoding-textual-data.ipynb |
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# ## Getting started
# ### Ranges
# A range is a rec... | dataManipulation/spreadsheets/Part I -- Spreadsheets basics/.ipynb_checkpoints/spreadsheet basics-checkpoint.ipynb |
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# # Load data
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import pickle
train_filename = "C:... | Capsule Network basic - SampleDataset.ipynb |
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# %matplotlib inline
import tensorflow as tf
import pa... | train_model/train_char_model.ipynb |
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# + [markdown] colab_type="text" id="rX8mhOLljYeM"
# ##### Copyright 2019 The... | site/vi/tutorials/quickstart/beginner.ipynb |
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import numpy as np
import pandas as pd
from pandas imp... | Linear_Regrsn_Price_Predict.ipynb |
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import time
import numpy as np
from keras.models i... | dev_notebooks/classNN-DE.ipynb |
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# # Example curve fitting
# ## Error of the curve
#
# This script also shows... | docs/curve fitting/example.ipynb |
# ##### Copyright 2020 The OR-Tools Authors.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | examples/notebook/contrib/least_diff.ipynb |
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# + active=""
# Explore indicator names to identify in... | preparation/data/prevalence/indicator_names.ipynb |
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import gzip
import json
import pandas as pd
path_data... | notebooks/preprocessing.ipynb |
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# # Convolutional Neural Networks
#
# ## Project: Writ... | dog_app.ipynb |
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# # Comparing Urban and Rural Streams
# In thi... | Comparing_Urban_and_Rural_Streams.ipynb |
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import nltk
# nltk.download()
... | Codes/LearningCodes/3.Bag_of_Words.ipynb |
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# # Reconstruction Sandbox
# This notebook is a test-b... | notebooks/reconstructions/snr_comparison_recon_res.ipynb |
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# # End-To-End Example: Tip Calculator
#
# The followi... | content/lessons/06/End-To-End-Example/ETEE-Tip-Calculator.ipynb |
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# name: python392jvsc74a57bd050c93bd6a88d5a56fafcaa... | Cap03/Notebooks/DSA-Python-Cap03-07-Lambda.ipynb |
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# %matplotlib inline
import numpy as np
import tim... | notebooks/vae-semi_supervised_learning/inception.ipynb |
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# # Classification Avancée
# # projet 4
# ## Séparate... | CA4.ipynb |
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# # Python 201.2
# ## Nível intermediário em Python
#... | notebooks/Python201/Python201.2.ipynb |
// -*- coding: utf-8 -*-
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// # Integer logic a... | integer/04_bit_fiddling.ipynb |
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import numpy as np
import pandas as pd
# +
import ma... | topicnet/demos/20NG-PREPROCESSING.ipynb |
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# # MonaLIA Classification Analysis
#
# https://toward... | Notebooks 1.0/Pipeline/MonaLIA.STEP 5.Classification Analysis.ipynb |
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import util
class SearchProblem:
... | Untitled.ipynb |
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# # Paquete SMEPY
# ## Autor: <NAME>
# # Instalación
#
#... | docs/Tutorial_smpey.ipynb |
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# # Remote Backend Compiler - RBC
#
# In RBC, a functi... | notebooks/rbc-simple.ipynb |
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import numpy as np
import corner
import pand... | demo/[Paper]_Make_Curated_Lens_Examples_Gallery.ipynb |
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import requests, urlparse, os, re, urllib
# import s... | Downloading/Download_images.ipynb |
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# # STOCK PRICE ANALYZER with TWITTER REACTION
#
# ###... | StockPriceAnalyzer_SiHyung.ipynb |
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from sklearn.pipeline import Pipeline
import panda... | scania/20190208 RBM feature generation.ipynb |
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import torch
from torch.autograd import Variable
from ... | notebooks/convolution.ipynb |
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# # Mitigating Disparities in Ranking from Binary Data... | notebooks/Mitigating Disparities in Ranking from Binary Data.ipynb |
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# # Retrieve published versions of articles on arXiv w... | pyzotero/pyzotero-doi-retriever.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | 03_combined_model.ipynb |
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# # Example: Compute Cost Matrix
# +
import os
import... | notebooks/osrmcpy_compute_matrix.ipynb |
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# These class functions are the adversarial attack sys... | src/AdversarialAttackNER.ipynb |
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# title: coal crawling
# date: 2020-07-18
# cate... | _ipynbs/.ipynb_checkpoints/coal_crawling-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matp... | data/Trip Route Category - PassHolder Type Combo Breakdown.ipynb |
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#Import libraries
import pandas as pd
import numpy... | Classifying COVID Status.ipynb |
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# + [markdown] id="UrjQGgr5nUHC"
# <h1> Imports and Se... | archive/Alg_Comparison/Domain_CA_multidimensional_sinewave_plot_explore.ipynb |
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from scipy import stats
import numpy as np
import pand... | Rank_correlation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Unit 1 Sprint Challenge 3 /DS_Unit_1_Sprint_Challenge_3_Data_Storytelling.ipynb |
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# # Activity 5: Assembling a Deep Learning System
# In... | old/Chapter02/activity_5/Activity_5_Assembling_a_Deep_Learning_System.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | dcgan_pokemon.ipynb |
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# ## 6.4: データの関係の可視化
# +
# リスト 6.4.1 tips データセットの読み込み... | notebooks/6-04.ipynb |
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# #### get_all_tweets will get all the tweets related ... | Scraping/TwitterScraping/AccessingBySearch/ScrapingTwitterBySearchName.ipynb |
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import sys
sys.path.append('../scripts/')
from mcl i... | section_fastslam/fastslam4.ipynb |
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# # Taller evaluable sobre la extracción, tran... | Taller ETVL CarlosCeballos.ipynb |
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# # PyDMD
# ## Tutorial 7: Dynamic mode decomposition... | tutorials/tutorial-7-dmdc.ipynb |
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# Ref :
# https://beckernick.github.io/oversamplin... | Correct approach to oversampling.ipynb |
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# # Click "Edit App" to see the code
# # I... | codeSnippets/8_prettyFigure.ipynb |
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# %load_ext sppl.magics
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# + language="javascript"
# <!-- Ignore this block -->... | sklearn/svm/spamFilter/SpamFilterSKLearn.ipynb |
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# # Random Forests
import numpy as np
import matplotl... | Bootcamp-materials/Day1-Machine-Learning/notebooks/07.2 - Random Forests.ipynb |
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import csv
import json
import requests
OPENFOODFA... | redmart/Redmart API.ipynb |
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# This notebook prepare the cata... | dmu28/dmu28_NGP/CIGALE_catalogue_preparation.ipynb |
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import requests
from bs4 import BeautifulSoup
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# cd C:\Users\wanzheng\Desktop\1.3---实训\《Python数据分析与应用... | matplotlib2.ipynb |
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# # Create a QComponent - Advanced
from qiskit_metal ... | docs/tut/2-From-components-to-chip/2.32-Create-a-QComponent-Advanced.ipynb |
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# __Libraries__
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# system tools
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# <img src="./Img/Label_02.png">
# 5 февраля 2021 год... | Course II/Python_SQL/pract/pract3/T01_Core/T01_Core.ipynb |
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# # Get data via SQLAlchemy
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# # gtburst
#
# This tutorial provides a step-by-step ... | GRBAnalysis/3.GRBAnalysisGTBurst/3.GRBAnalysisGTBurst.ipynb |
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# ### Copyright (C) 2022 <NAME> and s.o wh... | FinalProj/ML_HW04.ipynb |
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# # 9AR_omim_enrichment_dotplot
#
library(tidyverse)
omim_df = read.c... | 9AR_omim_enrichment_dotplot.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Bases_de_Python.ipynb |
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import pandas as pd
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import cod... | .ipynb_checkpoints/poor_and_limits_parse_test-checkpoint.ipynb |
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# # MSDS 430 Milestone 1
# ## California Wildfires
# ... | Fall2019/MSDS430/FinalProject/milestones/Draw_CA.ipynb |
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anyday=datetime.datetime(2017,05,16
... | Untitled.ipynb |
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# + [markdown] tags=[]
# # Example: CanvasXpress line ... | tutorials/notebook/cx_site_chart_examples/line_3.ipynb |
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#... | module2-sampling-confidence-intervals-and-hypothesis-testing/LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing_Assignment.ipynb |
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# # References
# * [Brief introduction to Python and J... | tutorials/altair/altair-viz-jupyter-02.ipynb |
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# + [markdown] colab_type="text" id="cT5cdSLPX0ui"
# #... | research/object_detection/colab_tutorials/inference_from_saved_model_tf2_colab.ipynb |
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# # Hierarchical clustering demo
#
# ## 1. Algorithm i... | hierarchical_clustering_demo.ipynb |
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impor... | DataProcess/net/DANN.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="rIh7FpkJ63RE" outputId=... | 2 - Word Embedding/Word2Vec.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import struct, socket
import numpy as np
import li... | spot-demo/assets/spot-oa/ipynb/flow/20160708/Threat_Investigation.ipynb |
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import tensorflow as tf
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#
# ## Description
#
# UPDATE: In this version of the ... | 5 instant gratification/single-qda-lb-0-96610-time-1-min.ipynb |
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# ## Target guided encodings
#
# In the previous lectures in ... | Section-06-Categorical-Encoding/06.07-Probability-Ratio-Encoding.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | session/pos/pos-luong.ipynb |
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# ### This notebook is ... | A special explanation for data cleaning and analysis(bias).ipynb |
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import pandas as pd
s = pd.Series(list('asdesdaesdaes... | Estudos/Python_Data_Science/Pandas/Curso_Pandas/extras/Contadores.ipynb |
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# STAT 453: Deep Learning (Spring 2021)
# Instructor... | L11/code/batchnorm.ipynb |
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# # CVE.ICU - 2021
# ---
# This informati... | cveicu2021.nbconvert.ipynb |
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# # 深度卷积神经网络（AlexNet）
# :label:`sec_alexnet`
#
# 在LeNet提出后，卷积神经网络在计算机视觉和机器学习领域中很有名气。但卷积神经网络并没有主导这些领域。这是因为虽然LeNet在小... | d2l/tensorflow/chapter_convolutional-modern/alexnet.ipynb |
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#os.getcwd()
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# # Getting started with JuMP
# This tutorial is ... | getting_started_with_JuMP.ipynb |
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# # Data ETL - Function Testing
#
# This notebook impl... | notebooks/1.4-jf-data-etl-testing.ipynb |
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# Lecture 32: Convolutional Autoencoder for Representa... | lecture32.ipynb |
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# <h1 align="center">Métodos Numéricos</h1>
# <h1 alig... | Cap05_IntegracionNumerica.ipynb |
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f... | projects/Spark and Python for Big Data with PySpark/Udemy_Section 13 Decision Trees and Random Forests.ipynb |