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# # Investigate the impact of miscentering... | examples/Example1_Fit_shear_profile_with_miscentering.ipynb |
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# hash: 2db524e06e9f5f4ffedc911c917cb75e12dbc923... | aprendizado-de-maquina-i/regressao/regressao_linear_simples.ipynb |
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# # Homework 2
# *This notebook includes both coding a... | fall_2017/hw2_release/hw2.ipynb |
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# # "My Linear Regressions Are Looking Irregular"
# > ... | _notebooks/2020-04-01-My-Linear-Regressions-Are-Looking-Irregular.ipynb |
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# # Homework 3 - NumPy
# ### NAME: <NAME>
# ### STUDE... | homeworks/hw03/hw3_numpy.ipynb |
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# # Hamilton-Jacobi Reachibility
# In the following w... | examples/modules/module_hjr.ipynb |
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# # Introduction to Python - part 2
# Author: <NAME>.... | notebook/intro-to-python2.ipynb |
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import numpy as np
import pandas as pd
import matplot... | Amazon price Analysis.ipynb |
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# + [markdown] id="YX1hxqUQn47M"
# ## PyTorch/XLA ResN... | Assignment5/question5.1_TPU1.ipynb |
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# ___
# # Logistic Regression Project
#
# In this proj... | Logistic Regression Advertising.ipynb |
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# + [markdown] id="lQBaanaBhuh3" colab_type="text"
# XGBoost(eXtra Gradient B... | ml/sklearn/ensemble/XGBoost.ipynb |
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# # Extract Data from SQL Databases
#
# In this workbo... | lessons/5 ETLPipelines/3_sql_exercise/3_sql_exercise.ipynb |
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# # Truncation Error vs Rounding Error
#
# Copyright (... | demos/error_and_fp/Truncation vs Rounding.ipynb |
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# # Using Trapezoid rule: f(x)=e2xcos(10x)
# %matplot... | hw_4_astr_119.ipynb |
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# + [markdown] nbsphinx="hidden"
# # The Discrete-Time... | discrete_time_fourier_transform/properties.ipynb |
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# + tags=["hide-input"]
from IPython.core.... | _build/jupyter_execute/Lectures/Lecture1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | workspace4.ipynb |
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from __future__ import print_function
from six.mov... | src/code/inception/.ipynb_checkpoints/Inception Score-checkpoint.ipynb |
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# # 사전작업
# ## 라이브러리 로드
import numpy as np
import pan... | Microsoft Malware Prediction/code/preprocessing/03-1 FE - Private 1 Public 0.ipynb |
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# <a href="https://colab... | Male&Female Previous Experiments/emotion_recognition_03.ipynb |
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import geemap
import ee
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from tqdm import tqdm
def sigmoi... | regression/logistic_regresion.ipynb |
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# name: python37664bitpytorchconda0cdad03962454fdfb22b6d3ea1ad8fae... | Ch18_math-for-DL/information-theory.ipynb |
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# # SoftMax Distributions for Human-Robot Interaction
... | resources/notebooks/softmax/Main.ipynb |
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import pickle
import gzip
import utils
import lo... | examples/prepare_macosko_2015.ipynb |
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# + id="EU3xHI_MKl7v"
#if you use colab
from google.colab import drive
drive.... | Final Work/UserInterphase.ipynb |
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# + [markdown] iooxa={"id": {"block": "h6m9YbHtjm7lMhF... | 3-magnetic-inversion-raglan-lp.ipynb |
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import pandas as pd
import matplotlib.... | docs/jupyter/LineRegression.ipynb |
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# ## Import raw data
import graphlab as gl
gl.canvas.... | webinars/pattern-mining/demo.ipynb |
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# + [markdown] id="Hc0XEe7S6Ft4" colab_type="text"
# # Seq2Seq with Attention... | colab/NMT-Seq2SeqWithAttention.ipynb |
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# # Reading outputs from E+
# some initial set up
# i... | docs/Outputs_Tutorial.ipynb |
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# # Federated FedProx PyTorch MNIST Tutorial
# The onl... | openfl-tutorials/Federated_FedProx_PyTorch_MNIST_Tutorial.ipynb |
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# # Publishing SDs, Shapefiles and CSVs
#
# Publishing... | samples/05_content_publishers/publishing_sd_shapefiles_and_csv.ipynb |
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# ## Import exiobase3 in brightway2
# by <NAME>, Jan19... | Import_exio_clean.ipynb |
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# # W2 - Accessibility (Distance Fields... | notebooks/w2_distance_fields.ipynb |
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# # Adding New Workloads
#
# Adding new workloads into... | docs/source/contributing/adding_workloads.ipynb |
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# # Managing Workforce projects
#
# [ArcGIS Workforce]... | guide/13-managing-arcgis-applications/managing-workforce-projects.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 19octubre.ipynb |
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import seaborn as sns
import matplotlib.pyplot as plt
... | Seaborn/Style and Color.ipynb |
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# # Pythonで遊ぼう
#
# ## 目的
#
# - Pythonで遊べる環境を構築する.
# - ... | 20180617.intro_to_python.ipynb |
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# %% [markdown]
# # ... | Alignments.ipynb |
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# # 과제:
# - 본인이 관심있는 분야의 데이터셋을 분석/예측하시면 됩니다.
# - 포트폴... | 5wk_머신러닝/머신러닝실습_13기 이재빈.ipynb |
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# This import registers the 3D projection, but is ... | gaze_project/visualization_system/data_processing/IVT.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Smit/Sem V/ML/drive-download-20191116T123739Z-001/.ipynb_checkpoints/Lab3-checkpoint.ipynb |
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# # Dataset Statistics for Perception Package Projects... | notebooks/Perception_Statistics.ipynb |
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# https://components.one/datasets/all-the-news-2-news-... | notebooks/cgc-0.0-all-the-news-eda.ipynb |
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# # Find All Structure <br>
# Used to find the remaini... | src/Archive/find_all_structures.ipynb |
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# + [markdown] button=false deletable=true n... | DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb |
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import requests
import pandas as pd
#Make API cal... | Sample 1_Job Summary Processing.ipynb |
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#
# In th... | ch06/Exploring_Data_with_Reports.ipynb |
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# ## Normal shading with textures
#
# This example sho... | examples/1_basics/8_shading_with_textures.ipynb |
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# Reading netflow day 3 into a txt file
# -
impor... | Catherine/SIEDS_Files/Reading_In_Day3.ipynb |
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# # Case 3: Generate Pseudo-Data with your model
... | Examples/3_GeneratePseudoData.ipynb |
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# # XML/HTML
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# ## XML
# ---
# ```xml
# <librar... | References/A.HTML Basics.ipynb |
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# # Clustering and Classification using Knowledge G... | docs/tutorials/ClusteringAndClassificationWithEmbeddings.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | quantum-with-qiskit/Q92_Grovers_Search_Implementation.ipynb |
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import sklearn as skl
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import numpy... | R_scripts/KMEANS_MOVIES.ipynb |
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# # Created aggregated checklist
import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Logistic Regression/Example 0/Logistic_Regression_example0.ipynb |
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# ](https://pytho... | 03_palabras_reservadas_y_nombres.ipynb |
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# # Regularization for linear regressor models
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im... | notebooks/linear-models/regressor-regularization.ipynb |
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# 백(bag)
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from ... | notebooks/coding_basic.ipynb |
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import sys
if 'google.colab' in sys.m... | week06_policy_based/a2c-optional.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | JSL_notebook.ipynb |
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# <a id='top'></a>
# # How to slice and dice the data
... | data_overview.ipynb |
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# # Artificial Intelligence Nanodegree
#
# ## Convolut... | mnist-mlp/mnist_mlp.ipynb |
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impo... | notebooks/B07_Imbalnaced_Data.ipynb |
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# + editable=false deletable=false dc={"key": "4"} run_control={"frozen"... | Visualizing Inequalities in Life Expectancy/notebook.ipynb |
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# # Swing Trade
# ### An automatic swing trading stra... | doc/swing.ipynb |
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# # Nanodegree Engenheiro de Machine Learning
# ## Mod... | resources/boston_housing/boston_housing_PT.ipynb |
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# ## Intro
#
# EGG provides multiple components to cre... | tutorials/EGG walkthrough with a MNIST autoencoder.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# You have... | example/notebooks/results.ipynb |
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# <link href="http://mathbook.pugetsound.edu/beta/mathbook-con... | aata/groups.ipynb |
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# # OCEA 201 -- Homework 2
# +
# imports
import unyt
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from feos_dft import *
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... | examples/FundamentalMeasureTheory.ipynb |
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from IPython.core.display import HTML
css_file = "./no... | 02-Testing.ipynb |
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import json
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# # Data Augmenation On The PCB Defect Dataset
#
# Thi... | workspace/pcb_data_aug/Process&Train_PCB.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | Traffic_Sign_Classifier.ipynb |
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import csv
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import panda... | simulation/ContactTracingSimulation_v2.ipynb |
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# + [markdown] colab_type="text" id="s_qNSzzyaCbD"
# ##### Copyright 2019 The... | site/en/tutorials/text/nmt_with_attention.ipynb |
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# # Challenge - Football match prediction
... | Week-02/4_Challenge.ipynb |
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# # Data Cleansing of the Data collected for the Best ... | Assignments/Assignment-02/HW2-Data-Cleansing.ipynb |
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# %%checkall
import matplotlib as mpl
try:
imp... | pyqstrat/src_nb/pq_utils.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 03b-ClaimsProcessing.ipynb |
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# ## Importing the libraries
import numpy as np
impor... | Polynomial Regression From Scratch/Poly_Reg_Test.ipynb |
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# # Analyzing Ford GoBike Data
# ## by <NAME>
#
# ## 1... | communicate_data_findings.ipynb |
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# # Making Zarr data from NetCDF files
#
# - Funding: ... | notebooks/netcdf_to_zarr_GEO_data.ipynb |
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import os, sys
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# + id="hjSlbalwC-ro" colab_type="code" colab={}
# shared LSTM / siamese LSTM... | 7/7-1-6.ipynb |