code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/Train/281-tweet-train-7fold-roberta-onecycle.ipynb |
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# ## Strings
# ### Criando uma String
# P... | 001-Curso-De-Python/001-DSA/001-Variaveis-Tipos-Estrutura-De-Dados/005-Strings.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | make_imagenet_6_class_data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment1_and_Assignment2_Day6_Batch7.ipynb |
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# <a href="https://colab... | Session_1.ipynb |
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# # Online Retails Purchase
# ### Introduction:
#
#
#... | 07_Visualization/Online_Retail/Exercises.ipynb |
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# <a href="https://colab... | Notebooks/algorithms/OC_SVM.ipynb |
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import scipy
from scipy import stats, signal
import nu... | Homework/.ipynb_checkpoints/HW4-checkpoint.ipynb |
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# + [markdown] _uuid="93d7b4b8f5f6e5289cfc0312d650744e... | 12 customer prediction/logistic-regression-with-new-features-feather.ipynb |
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# ## Gateways reached by a Sensor
from dateti... | sensor-gateway.ipynb |
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# + [markdown] colab_type="text" id="mHDxn9VHjxKn"
# ##### Copyright 2019 The... | site/en/guide/keras/save_and_serialize.ipynb |
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# <h2>Understanding the working of perceptron</h2><br>... | Perceptron/Perceptron.ipynb |
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# ... | Year19-20/2020-02-07_web_scraping/01_intro.ipynb |
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# # Preprocess
# +
import shutil
import os
import glo... | clef20/authorship-verification/tm_preprocessing.ipynb |
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# <i>Copyright (c) Microsoft Corporation. Al... | examples/00_quick_start/ncf_movielens.ipynb |
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# # Approximating square root
#
# There are a lot of u... | notes/sqrt.ipynb |
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// ***Good, you have jupyter notebooks installed... | jupyter/01 - Getting Started.ipynb |
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# # Assignment
#
# 1. Create a video and attach border of diffrent colour.
# 2. Save the video
| essential/a11.ipynb |
# -*- coding: utf-8 -*-
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# # Протоколы аутентифи... | Lab 2/Lab 2.ipynb |
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# # MLE for GPP and ER models in Nakano et... | MLE.ipynb |
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# name: c009-intel_distribution_of_python_3_oneapi-bet... | DirectProgramming/DPC++/Jupyter/oneapi-essentials-training/00_Introduction_to_Jupyter/Introduction_to_Jupyter.ipynb |
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# ! ls /Users/guillermogonzalez/ga/evan_github/input/
... | working/.ipynb_checkpoints/WestNile-checkpoint.ipynb |
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# + [markdown] id="wcq6dWzy1ZR0"
# # Payment Date Pred... | src/HRC82285W_ADITYA_MISHRA_prediction.ipynb |
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# # Galaxy simulations
#
# Now we'll use some initial ... | lesson05/Optional_galaxySimulations_3d_lesson05.ipynb |
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train_data = p... | tutorial.ipynb |
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# + [markdown] id="RjCjlskvBfgX"
# The dataset includes several data wranglin... | Homeworks/03. Get the most relevant song using LSH and GloVe/02. Intro to data cleaning.ipynb |
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# ## import local
from __future__ import print_functi... | lessons/lesson-5.ipynb |
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# # Color Fundamentals
#
# This notebook descr... | week06/examples_color01.ipynb |
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class RandomGraph(object):... | visualize_graph/graphviz_module/RandWiredNetworkGraphVizualize_graphviz.ipynb |
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# ### Palindromes
#
# Some fu... | Palindromes.ipynb |
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# # Demo outlier detection with Proximity-Based (kNN)
#
# <NAME> -... | src/knn.ipynb |
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my_list = [1,2,3,4,5,6]
my_list
m... | 01-NumPy Arrays.ipynb |
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from deep_rl import *
import matplotlib.pyplot as plt
... | notebooks/dsr-with-repLearn.ipynb |
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# # Estimating the carbon content of marine bacteria a... | bacteria_archaea/marine_deep_subsurface/carbon_content/marine_deep_subsurface_prok_carbon_content.ipynb |
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# #Principal Componenent A... | notebooks/22.3 Principal Component Analysis + Visualizations.ipynb |
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# # Laboratorio 2
import numpy as np
from scipy impor... | labs/lab02.ipynb |
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# [Ta... | 03_software-development/05_workflows.ipynb |
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# <img width="10%"... | Plotly/Create Bubble chart.ipynb |
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# # Multi-Band Auto-Encoder
# ### This Network should ... | CookieTTS/scripts/MultiResMel-AutoEncoder.ipynb |
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#当采用交叉熵,在train函数中:
#_,prediction = torch.max(F.softmax... | src/jupyter_notebooks/jupyter-fai-b/pytorch_instance _outside_inceptionresnet.ipynb |
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# #... | Build Basic Generative Adversarial Networks (GANs)/week2/C1_W2_Assignment.ipynb |
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# <a href="http://landlab.github.io"><img style="float... | notebooks/tutorials/terrain_analysis/chi_finder/chi_finder.ipynb |
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# ## Load CP4S Data
# ... | cp4s-notebooks/udi-examples/udi_clustering_processes.ipynb |
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#importing libraries
import math
import pandas as... | Technical Indicators.ipynb |
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# # Model Specification for 1st-Level fMRI Ana... | notebooks/basic_model_specification_fmri.ipynb |
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# ## Learning Objectives
#
# - How we can dump large d... | Lessons/S3_Boto.ipynb |
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import numpy as np
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import matplotl... | K_Means/K_Means_Using_SpearmanCorrelationCoefficent.ipynb |
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im... | decision_tree_regression.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
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# # Data Wrangli... | notebooks/Pandas_tutorial/Pandas_tutorial.ipynb |
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# # Data Source
# ***
# ### Yahoo Finance
# The major... | notebooks/Documentation_Data_Source.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# ## Fini... | notebooks/02_exp_1067_ATP.ipynb |
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# # Tutorial 3: An Introduction To MoleculeNet
#
# One... | examples/tutorials/03_An_Introduction_To_MoleculeNet.ipynb |
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# Ebnable HTML/CSS
from IPython.core.display import ... | ICA/ICA4_MachineLearning (1) (1).ipynb |
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# # Project 1 - Penguin Dataset
#
# ### Ab... | project1.ipynb |
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import pandas as pd
import functions as fn
import pick... | HW3.ipynb |
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from sklearn.tree import Decisi... | ensemble/bagging_random_forest.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | master/tutorial_numpy_1_10.ipynb |
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# ... | notebooks/16-RecurrentNeuralNetworks_LSTM.ipynb |
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# ## Demo: MoveActivity
# The basic steps to set up an... | notebooks/02_MoveActivity.ipynb |
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# + [markdown] id="iO7crgZlJKIS"
# # Initialize
# + [markdown] id="pQzJcaz0q... | Collaborative Filtering -- K-Means.ipynb |
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# # Imports
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import math
import pandas as pd
impor... | notebooks/tg/ttn/general/real/mnist_even_odd.ipynb |
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# # Twitter HOWTO
# ## Overview
#
# This document is ... | nltkma/test/twitter.ipynb |
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# # Deutsch-Jozsa Algorithm
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# ## Proble... | 04-Deutsch-Jozsa_Algorithm.ipynb |
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# # Transformations, Eigenvectors, and Eigenvalues
... | MathsToML/Module03-Vectors and Matrices/03-05-Transformations Eigenvectors and Eigenvalues.ipynb |
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# hash: bdff06bd94e17c36ce62... | Task-2_Clustering.ipynb |
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import numpy as np
import cv2 as cv
from matplotlib im... | building_extraction_mrcnn/samples/Demo_aerial.ipynb |
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# # Analyzing out-of-this world data
# Using data coll... | ch_09/planets_ml.ipynb |
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# `` Creating a dataframe containing postal code, boro... | Part_01.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PlotlyCandlestick.ipynb |
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from tensorflow.keras.layers import Input, Lambda, Den... | emotion_detection _classification/training.ipynb |
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# # Display a Web Scene Tutorial
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# This is the compl... | labs/display_web_scene.ipynb |
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# # Homework 1: Numerical Integration (20 points)
#
# ... | Exercise1.ipynb |
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# <table>
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# ## Creating a graph of a Home Assistant sensor
# Thi... | other/graph-single-sensor.ipynb |
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# # Logistic Regression with a Neural Networks
#
# We ... | Notebooks/LogRegressionUsingNeuralNetworks.ipynb |
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# # Face Detection
# ### For pictures
# ... | KNN-CLASSIFICATION/FACE_DETECTION/main.ipynb |
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import numpy as np
test = np.load('EQTr... | test.ipynb |
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from spli... | Mission_to_Mars/mission_to_mars.ipynb |
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# name: python373jvsc74a57bd07945e9a82d7512fbf96246d9bbc29cd2f106c1a4a9cf54c9563dadf10f22... | assignment_3/home_assignment_3.ipynb |
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# <img align="center" style="max-width: 1000px" src="b... | lab_05/lab_05.ipynb |
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# # Peak Picking, Integration, and lineshape fitting
#... | examples/notebooks/MS_Peak_Fitting.ipynb |
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# ## Dictionaries
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# **custom key value p... | CN DSA/Dictionay (Hashmap).ipynb |
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# # Watch Me Code 3: Understanding Function Variable S... | lessons/05-Functions/WMC3-Function-Scope.ipynb |
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# <img src="https://cf-course... | PY0101EN-5-1-Numpy1D.ipynb |
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#from sklearn.model_selection import train_test_split
... | nasa-iot-demo/explore-train-test-split.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# #### Quick l... | 02_end_to_end_machine_learning_project.ipynb |
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fn = r"D:\Project\Uber data\uber-raw-data... | Exploring Uber data using vanilla Python.ipynb |
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# ##### Copyright 2019 The... | site/en/tutorials/distribute/save_and_load.ipynb |
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import os.p... | CODE/16_weather_download.ipynb |