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# # Integrated Gradients Benchmark
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import sys
sys... | notebooks/IntegratedGradientsBenchmark.ipynb |
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# # **Importing Libraries and Dependencies**... | code/phase4.ipynb |
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# 01 SEP 2017
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# %matplotlib inline
import impo... | FAI02_old/Lesson9/neural_sr_attempt2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | python_language.ipynb |
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# # SVC Test
#
# This is an example use case of a supp... | SVM Test.ipynb |
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# + id="tpeNMQEgIAo1"
#Parsing Important details of subject such as diet,life... | sub_info_parser.ipynb |
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import pandas as pd
import datetime
import gc
from skl... | Code/.ipynb_checkpoints/DT_Revised_v1-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_LS_DS_113_Making_Data_backed_Assertions_Assignment.ipynb |
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#ignore
from IPython.core.display import HTML,Imag... | content/02_Feature_Engineering.ipynb |
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# cf. [`stackoverflow` How to Implement a Binary Tree?... | crack/TreesGraphs.ipynb |
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# # Scenario A - Noise Level Variation (multiple runs ... | code/scenarios/scenario_a/scenario_noise_mruns.ipynb |
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import pickle
import numpy as np
import matplotlib.pyp... | grating_coupler_meep/farfield_monitor/analysis_8deg.ipynb |
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# # Introduction
#
# **What?** `__repr__` vs. `_... | GitHub_MD_rendering/__repr__ vs. __str__.ipynb |
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# + nbpresent={"id": "f999d3ea-acb8-4aa6-a8... | Task 1/market_plot.ipynb |
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# ### Content Based Recommendation System
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import ... | CourseContent/09-Recommendation.Systems/Week1/ContentBasedRecommendation.ipynb |
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# Pandas dataframe
import pandas as pd
from pandas... | notebook_85/flo/2. Flo diameter.ipynb |
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# ## Use Weighted MRT + Distance to Nearest Amenties
# ##... | Auxiliary-data-nearest-distance-betweenness-test-result.ipynb |
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import numpy as np
import pandas as pd
import requests
import... | notebooks/quant-value-strategy.ipynb |
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# # Time-dependent FRH symmetry
import numpy ... | 5-symmetry.ipynb |
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# # Cauchy Distribution
#
# The Cauchy distributio... | Cauchy Distribution.ipynb |
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import modapsclient
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# + [markdown] tags=["remove_cell"]
# # Multiple Qubit... | notebooks/ch-gates/multiple-qubits-entangled-states.ipynb |
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# %matplotlib inline
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impo... | Untitled.ipynb |
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import pandas as pd
import numpy as np
data = np.genf... | Pandas and Numpy/notebook1.ipynb |
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# ### An Introduction to the Simplified Mo... | fundamentals/SMILES_tutorial.ipynb |
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# # Artificial Intelligence, Machine Learning and Deep... | Blog Posts/AI, ML and Deep Learning - Are they same?/AI_vs_ML_vs_DL_Difference.ipynb |
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# ## A New Experimental Dataset for Clustering!
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i... | _drafts/walking-data.ipynb |
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# + [markdown] colab_type="text" id="MhoQ0WE77laV"
# ##### Copyright 2018 The... | site/it/tutorials/keras/classification.ipynb |
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# # Chemistry Overview
#
# A wide range of tools exist... | src/chemistry/overview.ipynb |
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# Purpose of this to carry out the following:
... | files/_archive/features_split_preprocess.ipynb |
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# # Caedus-Covid Notebook
#
# ## Model Parameters
#
#... | covid-modeling-master/Physical_Capacity.ipynb |
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# name: python392jvsc74a57bd098b0a9b7b4eaaa670588a142fd0a9b87eaafe866... | database/tasks/How to graph curves that are not functions/Python, using SymPy.ipynb |
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# + tags=["context"] deletable=false editable=false dc... | The GitHub History of the Scala Language/notebook.ipynb |
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# ## 02 scikit-learn 中的 kNN
import numpy as np
impor... | 04-kNN/02-kNN-in-scikit-learn/02-kNN-in-scikit-learn.ipynb |
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# + id="z85-XBJe8fwX"
import numpy as np
import networ... | week2/keivalyapandya2001/Q3 - Q/Attempt1_filesubmission_search_based_planning_package.ipynb |
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## Decision Tree
import numpy as np
import pandas ... | Decision-Tree.ipynb |
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import numpy as np
... | notebooks/embedding_inner_prod.ipynb |
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# In a process like the SGCN, we have some specific bu... | Build WoRMS Info.ipynb |
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# # Training Tests for Part Of Speech tagging
#
# This... | predictors/sequence/text/Conv1DColumnTrain.ipynb |
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# <img src="qiskit-heading.gif" width="500 px" align="... | community/awards/teach_me_quantum_2018/TeachMeQ/Week_8-High_Level_Quantum_Programming/exercises/w8_01.ipynb |
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# Seaborn examples, taken from https://jakevdp.github.... | Visualization with Seaborn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Introduction to this tutorial
#
# This tutorial is... | Section 3 - Preparing Data using SparkSQL/3.1/loading_data_from_a_csv_file.ipynb |
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weather = pd.read_csv("../weather3_180703.csv")
weathe... | weather2_code/station1.ipynb |
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import matplotl... | analysis/spiralAnalysis_results.ipynb |
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# + [markdown] id="lx2nbe5zZ_-N"
# # AskRe... | Complete Code/attempt4/attempt4_1.ipynb |
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# https://es.khanacademy.org/math/multivariable-calcul... | MarkowitzPortafolioOptimization/Max_Min_PuntoSilla.ipynb |
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import pandas as pd
import seaborn as sns
import m... | Jupyter Notebooks/Visuals-Copy1.ipynb |
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# # 线性回归的概念
# ### 1、线性回归的定义
#
#
#
# 进入一家房产网，可以看到房... | origin_data/Task1.ipynb |
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from pyspark.sql import SparkSession
from pyspark.ml.c... | develop/2018-03-15-MN-SparkGBTCrossVal.ipynb |
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# ## Example B.3 Parent Breadth-first Search
#
# Examp... | notebooks/Example B.3 -- Parent BFS.ipynb |
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# + [markdown] colab_type="text" id="bOChJSNXtC9g"
# #... | notebooks/Python-in-2-days/D1_L2_IPython/Homework 1.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"ti... | tutorials/Certification_Trainings/Healthcare/databricks_notebooks/8. Training Entity Coding Models (SNOMED example).ipynb |
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import pandas as pd
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# + [markdown] id="N6ZDpd9XzFeN"
# ##### Copyright 2018 The TensorFlow Hub Au... | site/ja/hub/tutorials/object_detection.ipynb |
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# # Flax seq2seq Example
#
# <a href="https:... | examples/seq2seq/seq2seq.ipynb |
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# # Listas
# Vamos a empezar por definir una cadena.
... | content/es/Notebook 03 - Listas.ipynb |
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# You now know the fo... | week1/akshathaj/Q5 - Q/Attempt1_filesubmission_dashboard.ipynb |
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# # Problem-1
# Visualize a PDB structure, set styles,... | 1-3D-visualization/Problem-1.ipynb |
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# # pyABF-APisolation - Code Walkthrough
# pyABF-APis... | bin/pyABF-APisolation - Code Walkthrough.ipynb |
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import os
import matplotlib
import... | subunit_net/analysis.ipynb |
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# # abc
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fileName = "test"
mg_cv = cv2.imr... | src/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # broadening the scope of our classes
# So far, we'v... | notebooks/devise/notebooks/03 - broadening the scope of our classes.ipynb |
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# # Convergence Plots
# The Convergence Plots consist... | docs/io/visualization/convergence_plot.ipynb |
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# ### Python notebooks
# * interactive
# * contain co... | classes/advanced_scripting.ipynb |
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# [GeeksForGeeks](https://www.geeksforgeeks.org/file-o... | 16. Adv Python File Handling/03. File Different Modes and Object Attributes.ipynb |
# -*- coding: utf-8 -*-
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# # Part 1
# +
# function... | calib/SimPrep.ipynb |
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# ### Quiz 1
x=10
if(x>5 and x<9):
print('hi')
... | Module_01/Untitled.ipynb |
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# Copyright (c) Microsoft Corporat... | notebooks/Image Classification/03 - Model Deployment as Web Service.ipynb |
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# # Overview
# - スタッキングを試してみる
# # Import everything ... | src/.ipynb_checkpoints/93_stacking_03_redge-checkpoint.ipynb |
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# # Berpikir dengan peluang
import pandas as pd
impor... | Bagian 5 - Statistik dan Python 1/3. Probabilistik and Statistik Inferensia.ipynb |
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# <... | lab13_original.ipynb |
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# # Happy Valentine's Day
# <img src = 'Valentine.jpg'... | Lab4/Lab4_SVM_LabExercise.ipynb |
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# **EL ENUNCIADO DE ESTE EJERCICIO PIDE RESOLVERLO CON... | sparksql/2018C1_1_GCPD.ipynb |
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# ## Neural Networks
#
# The main purpose of this ... | Implementations/neuralNetwork/.ipynb_checkpoints/Neural Network - Regression - Redacted-checkpoint.ipynb |
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import scipy.io as sio
from scipy.misc import imread
i... | pp_10fold_lin_signet_orig_split.ipynb |
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# + [markdown] id="7_gtFoV8BuRx"
# This is a simple example of SimSwap on pro... | SimSwap colab.ipynb |
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# # Analiza i projektiranje računalom - 5. domaća z... | dz/dz-05/demo/demo-01_hw-05.ipynb |
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# Part of https://github.c... | dqn.ipynb |
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# Data Imports
import numpy as np
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import lightgbm as lgb
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# <h1>Table of Contents<span c... | Chapter 4/linear_models.ipynb |
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# %load_ext autoreload
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# # Organization of the source code of occiput
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# + id="udoq38uwEis8"
# <NAME>
# Checked working on Windows 10
# Run the note... | Freshworks_assignment.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Midterm_Exam.ipynb |
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# ## Intro
# In this workbook I have described my way ... | keras2torch_converter/keras2torch_converter.ipynb |
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# Summary
#
# First paragragh: Lede statement that states ... | _TODO/How to write.ipynb |
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# <h1>Featurization<h1>
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# ## Perform ‘Exploratory Data Analysis’ on dataset ‘I... | EDA - SPORTS #TASK5.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | Bronze/quantum-with-qiskit/Q40_Operations_on_the_Unit_Circle_Solution.ipynb |
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# # 100 numpy exercises
#
# This is a collection of ex... | 100_Numpy_exercises.ipynb |