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from UQpy.StochasticProcess import BSRM
from UQpy.RunM... | example/StochasticProcess/BSRM_matlab.ipynb |
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import os, importlib, sys, time, h5py
import numpy as... | example/3.1 LDFA-H versus existing methods in addressing noise auto-correlation.ipynb |
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# cd /media/sf_datasets/Smarter\ Devices/BLUED_extract... | BLUED-TK/svm_on_ipeaks.ipynb |
// -*- coding: utf-8 -*-
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// ![xfram... | notebooks/xframe.ipynb |
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# hash: 9fe336409bf8d1c21a3b... | 04_Apply/US_Crime_Rates/Exercises.ipynb |
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# + [markdown] colab_type="text" id="ubFUlqz8cj1L"
# #... | examples/tutorials/06_Introduction_to_Graph_Convolutions.ipynb |
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import os
os.environ['TRKXINPUTDIR'] = '/global/cfs/cdi... | notebooks/checks/graph_plots.ipynb |
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# + [markdown] id="uFLiavR4mQxr"
# # Import necessary packages
# + id="51NOy... | Sentence_similarity_hackathon_AP.ipynb |
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# # Set up FEAT for beta extraction
# Set up analysi... | notebooks/draft/Setup-LSA.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | docs/labs/lab08/cs109b-lab08-rnn-solutions.ipynb |
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# # Data Cleaning
#
# Main cleaning steps:
# - Transfr... | notebooks/01_data_cleaning.ipynb |
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import numpy as np
# from tqdm import tqdm
from tq... | full_fisher_matrix.ipynb |
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# # ICD-O - SNOMED Entity Resolution - version 2.4.6
#
# ... | jupyter/enterprise/healthcare/ICDO-SNOMED-EntityResolution.ipynb |
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# + language="javascript"
# $('#appmode-le... | index.ipynb |
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# + [markdown] colab_type="text" id="wiN3XS_Ym8aJ"
# #... | SuperCabs/Agent_Architecture2.ipynb |
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import os
from pprint import pprint
import torch
... | 04其他模型教程/4.03 BERT-NER-MSRA.ipynb |
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# %matplotlib inline
import pandas as pd
import n... | working/201_train_1.ipynb |
# -*- coding: utf-8 -*-
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# # Statistical inference over human and model b... | analysis/inference_human_model_behavior.ipynb |
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impor... | Resources/CSVtoHTML.ipynb |
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# # Speech Translator
import speech_recognition as sr #S... | Verzeo_Major_Projects/TextToSpeech_and_SpeechToText_Togather/LanguageTranslation.ipynb |
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# # Green's function of an atomic chain
#
# This examp... | jupyter_notebooks/chain_greens_function.ipynb |
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# # 1.1 Convolutional Neural Network for Regression - ... | cnn_regression_transfer_learning.ipynb |
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from IPython.core.display import display, HTML
from IP... | DFW_talk_intro_to_machine_learning.ipynb |
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# # Fraction of species without cas as a function ... | Fig2D_cas-v-nocas.ipynb |
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# # ANP Row Sensitivity Graphing
import numpy as np
... | scrap/Examples-ANPRowSensitivityGraphing.ipynb |
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# + colab={} colab_type="code" id="9aMFvFjcoI_v"
# Copyright 2018 The TensorF... | tensorflow_gan/examples/colab_notebooks/tfgan_tutorial.ipynb |
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# # Trees and Forests
# %matplotlib inline
import num... | Chapter 2/Trees and Forests.ipynb |
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# %matplotlib inline
from keras.models import Seq... | test_moving_mnist/.ipynb_checkpoints/mnist_rnn-checkpoint.ipynb |
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import glob
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# # Text Preprocessing
# :label:`sec_text_preprocessing`
#
# We have reviewed and evaluated
# statistical tools
#... | d2l-en/pytorch/chapter_recurrent-neural-networks/text-preprocessing.ipynb |
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# + slideshow={"slide_type": "skip"}
#Configuracion pa... | clases/Unidad2-HerramientasTransversalesEnIngenieria/Clase01-EducatedGuessing/.ipynb_checkpoints/base-checkpoint.ipynb |
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from kafka import KafkaConsumer
import time
def l... | wenben_project/reco_sys/offline/full_cal/KafkaConsumer.ipynb |
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# # Predicting patient death in the ICU
# Team member... | _notebooks/2021-11-22-ICU_predictions.ipynb |
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# # Predict student admission based on marks in two ex... | machine_learning/Regression_exmaple/LogisticRegression.ipynb |
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# Header cell
from __future__ import division
impo... | ipynb/16.12.17_jbk_mcmc.ipynb |
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import pandas as pd
import seaborn as sns
import n... | Archive/code/Notebooks/All_algo_test_manish_v1.0.ipynb |
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# default_exp repr.codebert
# -
# # Code Bert Ada... | nbs/2.0_repr.codebert.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day68/DataAnalysisonAirdata1.ipynb |
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# <!DOCTYPE html>
# <html>
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# <div align="cent... | .ipynb_checkpoints/Pie Charts-checkpoint.ipynb |
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# + [markdown] id="oc9gNLcD9wJK"
# ### Negative sampling
# + [markdown] id="... | _docs/nbs/T445626-Negative-Sampling.ipynb |
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import torch
import torch.nn as nn
import torch.nn... | Inference/Headline Editing Demo.ipynb |
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# 1) Params
# Quickbooks Integration - TOM
import ... | .ipynb_checkpoints/qb_daily-checkpoint.ipynb |
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import music21
import pathlib
import pickle
impor... | ai_music_composer/start.ipynb |
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# + [markdown] id="h39mZstqmVn2"
# **Online Learning: Backpropagation applied... | Online_Learning_Perceptron.ipynb |
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# # Grove Temperature Sensor 1.2
#
# This example show... | boards/Pynq-Z1/base/notebooks/pmod/pmod_grove_tmp.ipynb |
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# <!--NOTEBOOK_HEADER-->
# *This notebook ... | docs/01.10-Workstation-Learning-Exercises.ipynb |
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#default_exp data.load
# -
# %load_ext ... | nbs/01_data.load.ipynb |
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# # Partial Evalutation and Currying
#
# 通常编程时，我们会想半途中... | 3-curry.ipynb |
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# # Seaborn graphics
#
# [Seaborn](https://seaborn.pyd... | vmfiles/IPNB/Examples/b Graphics/30 Seaborn.ipynb |
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import numpy as np
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | Naas/Naas_Emailbuilder_demo.ipynb |
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import requests
url="htt... | etl/ETL Covid Big Gato.ipynb |
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# # IMPORTS
# ## Libraries
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import math
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import pandas as pd
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# <h1>Examples</h1>
# <strong>Example #1: Saving A Di... | 03 Advanced/26-saving-objects-with-pickle.ipynb |
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# # Python Deep Dive
# > Learning special concepts li... | _notebooks/2021-02-10-python-deep-dive.ipynb |
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# #### New to Plotly?
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# # EGS master catalogue
# ## Pr... | dmu1/dmu1_ml_EGS/1.6_CANDELS-EGS.ipynb |
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from pandas import read_csv
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# %pip install torch torchvision progress
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'''
Tra... | cifar.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | shared/notebooks/1_statistics/.ipynb_checkpoints/diabetes_analysis-checkpoint.ipynb |
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# # WeatherPy
#
... | WeatherPy/WeatherPy.ipynb |
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# # FUNCIONES
import os
import numpy as np
import ppr... | Pruebas/Revision1/pu_epbQR_sistema_sin_solucion.ipynb |
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## Collect Tweets and Desired Attributes
print("-... | data/raw/code_repo.ipynb |
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# # Extending xclim
#
# xclim tries to make it easy fo... | docs/notebooks/extendxclim.ipynb |
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# # Linearity measure applied to fashion MNIST
#
# #... | doc/source/examples/linearity_measure_fashion_mnist.ipynb |
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# ### Install Beta-recsys
# ## Loading dataset
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... | VBR_Instacart_25%_feature_combination-5m1.ipynb |
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import importlib
... | DATA_SORT/analysisincrements/sortoutforecast/.ipynb_checkpoints/regridforecast-checkpoint.ipynb |
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sys.path.insert(0, '../')
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# + id="tMDG6tALmPWM" colab_type="code" colab={}
import pandas as pd
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#This Classifier is used for classifying whether i... | NonText_Object_Classifier(SVC).ipynb |
# -*- coding: utf-8 -*-
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using DrWatson
@quickactiv... | notebooks/dev/GPUDev0718.ipynb |
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# # Multi-channel slow-wave detection
#
# This noteboo... | notebooks/06_sw_detection_multi.ipynb |
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import pandas as pd
import numpy as np
from matplo... | Castalia-K/notebooks/TaxaMAC.ipynb |
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# > **Copyright © 2021 CertifAI Sdn. Bhd.**<br>
#... | YOLO/ImageRetrieval.ipynb |
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# ## MOSAIKS feature extraction
#
# This t... | mosaiks_landsat_8.ipynb |
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# # Binary by any other name
#
# * https://adventofcode.com/2020/day/5
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import sys
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# # Contiguity diagram
#
# Computational notebook 06 for **Mo... | 06_Contiguity_diagram.ipynb |
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# + [markdown] id="KhsH8YtlFPW5"
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# # 03a - BigQuery Machine Learning (BQML) - Machine L... | 03a - BigQuery Machine Learning (BQML) - Machine Learning with SQL.ipynb |