code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Word Embeddings: Hands On
#
# In previous lecture ... | Part2_Probabilistic_Models/C2_W4_lecture_nb_4_word_embeddings_hands_on.ipynb |
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filename = './exampleFiles/truncateFile... | notebooks/truncateWrite.ipynb |
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# + [markdown] colab={} colab_type="code" id="S4k18niv... | neural_collaborate_filter_train.ipynb |
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import urllib3
import json
from bs4 import BeautifulSo... | claff-offmychest-master/scripts/reddit_scarper.ipynb |
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# # Simon Fraser University - Mechatronic Systems Engi... | LAB_2/MSE491_Lab2_Classification.ipynb |
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import numpy as np
import pandas as pd
import scipy as... | Ensemble Learning/DT_AB_RF_Train_Test_Splite_Credicard_dataset.ipynb |
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# # Licences / Notes
# + colab={} co... | bert-pipeline/Predicting_Stressor_with_BERT_on_TF_Hub.ipynb |
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# <... | examples/tutorial/tutorial_notebooks/cluster/exercise_5.ipynb |
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# # Data Analysis
# +
# Import basic libraries
impo... | Research_environment/ML pipeline research environment/ML_pipeline_research_data_analysis.ipynb |
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import pandas as pd
import numpy as np
pd.Series(['h... | Workshops/agnostech-ml/day1/pandas.ipynb |
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import os
import tensorflow as tf
import numpy as np
i... | Modelos_com_reducao/Servidor/CNN/AutoEncoder/CNNInfiltrationIDS(01-03-2018).ipynb |
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# # Handling Missing Data
import numpy as np
import p... | code_listings/03.04-Missing-Values.ipynb |
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import pandas as pd
import numpy as np
imp... | Logistic Regression/Logistic Regression Project.ipynb |
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# # Problema
#
# GoNuts pr... | Progetto Ottimizzazione (versione interi).ipynb |
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from matplotlib import pyplot as plt
data = [115, 140... | classroom_examples/naive_bayes/Misc.ipynb |
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// # Concise Implementation of Multilayer Percep... | jupyter/d2l-java/chapter_multilayer-perceptrons/mlp-djl.ipynb |
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import sklearn.datasets as ds
impor... | notebook/Prove/Prove-6/Prove-Different-Optimizer.ipynb |
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# # Geothermal doublets
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# In this notebook, we will ... | 09_Geothermal_doublets.ipynb |
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# # Generating synthetic data
#
# This notebook walks ... | examples/synthetic_records.ipynb |
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# # Series
import pandas as pd
from IPython.display i... | Lecture 30 Series.ipynb |
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from dotenv import load_dotenv
load_dotenv("readonly.... | ds/Trace tool.ipynb |
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using HDF5
using LaTeX... | examples/data_analysis/surface_plots.ipynb |
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# + extensions={"jupyter_dashboards": {"version": 1, "... | examples/Select-GeoJson.ipynb |
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from augur.githubapi import GitHu... | notebooks/example-metrics.ipynb |
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data = [ [1,2,3], [4,5,6], [7,8,9... | extras/Organizando DataFrame (Sort).ipynb |
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from pymongo import MongoClient, Updat... | final.ipynb |
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# %pylab inline
# %config InlineBackend.figure_for... | lecture8/HMspins.ipynb |
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# # NY Parking Violation Data Analysis
#
#... | notebooks/nyc_parking_analysis.ipynb |
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# # Approximate Rates
#
# pynucastro can u... | docs/source/approx-rates-examples.ipynb |
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# ## You can use firehose to ingest data ne... | LAB12_Firehose.ipynb |
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# + [markdown] id="b2cfb934-16d2-462d-870c... | ANN/ANN.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | docs/tutorials/getting_started.ipynb |
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# ### Simple example for performing symbolic regressio... | jupyter/fit_func.ipynb |
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# + [markdown] id="eTdCMVl9YAXw" colab_type="text"
# # Embeddings
#
# In this... | notebooks/14_Embeddings/14_PT_Embeddings.ipynb |
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# ## Imports
from bs4 import BeautifulSoup
import pan... | 10 Selenium/2 Htmls auslesen.ipynb |
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# # Estructuras de Control Iterativas
# A diferencia ... | Modulo2/1. Estructuras de Control Iterativas.ipynb |
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excel = pd.read_excel('/Users/ali... | Aqueduct/Untitled.ipynb |
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# ### AOS 575 Application Lab 4 - aos575_applab4_fft_E... | aos575_applab4_fft_EPICA.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # D... | 04-DataStructures.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | core/ml/pre-datathon.ipynb |
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# ### Pipeline
# - 직접 코드를 하나씩 실행하면 혼돈이 생긴다
# - 데이터 전처리... | machine_learning/datascienceschool/0320_pipeline.ipynb |
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Get data of publications (year) for each author on... | notebooks/06_scrape_fictiondb.ipynb |
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total_attempts = 3... | module-1/Lambda-Functions/your-code/Leandro's Game.ipynb |
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# + [markdown] id="OC5nJawdBX97" colab_type="text"
# **Python string methods... | 4-assets/BOOKS/Jupyter-Notebooks/Overflow/String_methods.ipynb |
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# # GDP and life expectancy
#
# Richer countries can a... | Omobolanle Adeyemi WT 192/Project1.ipynb |
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# # Example HDF5 Insights
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# This Jupyter Notebook sh... | examples/Example_HDF5_Insights.ipynb |
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# ## Output data preparation for dataset D... | embed/result_report_deezer.ipynb |
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import tensorflow as tf
import numpy as np
## da... | tensorflow/day2/answer/A_02_00_XOR_problem.ipynb |
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# # Utilisation de base
#
# Importer, hériter `Abstra... | experiments.ipynb |
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# + [markdown] colab_type="text" id="hrXv0rU9sIma"
# #... | C2_custom_training/C2_W3_Lab_1_autograph-basics.ipynb |
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# # 3D Geometries
#
# ## Introduction
#
# In this tutorial ... | tutorials/geometry_02_geometry.ipynb |
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base_dir = 'C:\\Users\heine\github\Plate... | scripts/Ben/.ipynb_checkpoints/20170504_igrna_CCW12_test-checkpoint.ipynb |
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# <h1 style="text-align:center">Undamped Response to H... | Jupyter Notebooks/Undamped Response to Harmonic Direct-Force Inputs.ipynb |
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# # Single Target Regression Example
# This example will show you how to use one of the provided data sets and ```amorf.problemTransformation... | examples/05_singleTarget_example.ipynb |
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# Use the Azure Machine Learnin... | test.ipynb |
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import os
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CODE_DIR = 'code'
sys.path.a... | Playground.ipynb |
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# # In Class Notebook, Week 16
# You can ... | week16/inClass_week16.ipynb |
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# # Residual Networks
#
# Welcome to the first assignm... | convolution_neural_networks/week_2/Residual_Networks.ipynb |
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from keras.preprocessing.text import Tokenizer
fro... | Models/Flickr30k/.ipynb_checkpoints/Flickr30k_testing-checkpoint.ipynb |
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# Experimento muy simple solo para ilustra... | experiments/.ipynb_checkpoints/quantile_transformer-checkpoint.ipynb |
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# # Git versioning system
# **git** is a version cont... | nb/git/git.ipynb |
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import numpy as np
from sklearn.datasets import fe... | exercise/chap_9/12_olivetti_gaussian.ipynb |
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# # Setup
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# %matplotlib inline
import numpy as n... | Fig01 - PSG examples.ipynb |
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# Load MNIST data.
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import utils
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imp... | mnist/rule-propagation-centroids.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
im... | session/similarity/bert-base.ipynb |
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# Programación para *Data S... | 02_PYTHON/week06/pra/07a_python_avanzando.ipynb |
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# !pip install nbdev -q
#hide
from nbdev.showdo... | index.ipynb |
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import face_recognition
import cv2
import pandas a... | Untitled.ipynb |
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# Start by importing the functions
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from pathlib i... | exemple/open_files.ipynb |
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# # Programming language interoperability
# ## Py... | Day2/1_interop.ipynb |
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# ### TSE data exam... | research/develop/2017-05-10-rafonseca-use-tse-data.ipynb |
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# # Exmple
# .ipynb
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import numpy as np
import pan... | .ipynb_checkpoints/report-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="xtaLPWSdhSQX"
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#... | audio_classifier_fastai.ipynb |
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# <a name="oov-words"></a>
# # Out of vocabulary words... | Natural Language Processing/Course 2 - Natural Language Processing with Probabilistic Models/Labs/Week 3/Out of vocabulary words (OOV).ipynb |
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#
# Zeroing out gradients in PyT... | PyTorch Recipes/Part 2/zeroing_out_gradients.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 498r_7k.ipynb |
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# # Data and Imports
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import pandas as pd
impor... | notebooks/Fasttext1DCNN.ipynb |
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# # Writing Photon-HDF5 files in python
#
# > ... | notebooks/Writing Photon-HDF5 files.ipynb |
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# # Legend Place
#
# Place legend at `bott... | source/examples/basics/gog/legend_place.ipynb |
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... | use-cases/create_wikidata/Create-claims-augmented-for-browser.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="8LDziy681qsA" outputId=... | Anime_Generator.ipynb |
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# + id="vE9BuidfHmGC"
import numpy as np
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# 1.1... | Fake_News_or_Not_Using_random_forest.ipynb |
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print(sys.version)
from astr... | notebooks/Generate MEF.ipynb |
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from gs_quant.session import Environment, GsSession
fr... | gs_quant/examples/04_scenario/01_carry_shock/040101_basic_use_of_carry_scenario.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import collections
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# + [markdown] id="ZfpTLD7GajFb"
# # Find duplicate qu... | Natural Language Processing/Week3/z-week3-Embeddings.ipynb |
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# # Expression trees in PyBaMM
#
# ... | examples/notebooks/expression_tree/expression-tree.ipynb |