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# # Global Warming affects on Agriculture - India
#
# ... | global warming affects on agriculture India.ipynb |
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# + [markdown] colab_type="text" id="6-w6JdXpymm5"
# #... | notebooks/work/prior/Assignment-2.ipynb |
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# Bu ders yazılım optimizasyonunu(software optimizatio... | iot-icin-intel-edge-ai/bolum-4-optimizasyon-teknikleri-ve-araclari/ders-1-yazilim-optimizasyonu-tanitimi.ipynb |
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# # Salmon Mapping
# ## Prepare mapping commands
#
i... | data/DevFB/3.mapping.ipynb |
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## 3.1 MNIST
import os
from scipy.io import loadma... | ml/ageron_tutorial/classification/ageron_ch3.ipynb |
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import dxchange
import matplotlib.pyplot as plt
from x... | doc/demo/transform_train.ipynb |
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# ### You are not alone! There are many resources for ... | notebooks/Resources.ipynb |
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# # How to use this website and prepare for each week
... | book/howto.ipynb |
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# # Matplotlib 3D Plot
#
# Are you tired with the same... | 3dplot/3dplot.ipynb |
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# + [markdown] id="PbQo5QPSWTLU"
# Poniższy notebook p... | Jupyter Notebooks/Notebook for BERT predicts in Colab.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled2.ipynb |
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# # Parameterized inference from multidimensio... | examples/Parameterized inference from multidimensional data.ipynb |
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# + [markdown] deletable=true editable=true
# In this ... | semi-supervised/semi-supervised_learning_2_solution.ipynb |
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import logging
import os
import sys
import time
i... | notebooks/training_of_kge_models/Train TransD on RDF.ipynb |
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# # 使用字符级RNN分类名称
#
# [
# - Determine... | class1_explore/encoding_errors.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # G... | Geochron_Calculations_LuHf.ipynb |
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# ### Import packages
import pandas as pd
import nump... | DSD_finalmodels.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Ch2_Cross_validation/Cross_Valid_WineQuality.ipynb |
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import numpy as np
f... | dip_notes/09_st_matrix.ipynb |
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# %load_ext nb_black
# %config InlineBackend.figure_fo... | 53_analyze.ipynb |
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import matplotlib.pyplot as plt
#... | comp-cientifica-I-2018-2/semana-5/Semana3-Parte3-GraficosConvergenciaNewton-Copy1.ipynb |
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# # Filings Monthly Stats
# We need to load in these ... | jobs/filings-notebook-report/monthly/filings.ipynb |
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path = os.getcwd()
model_tar = "nuclei_datasets.ta... | mask_rcnn_damage_detection/PR Curve.ipynb |
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# + [markdown] _cell_guid="0bf81eb9-8749-401f-9a2e-d58... | time-series-basics-exploring-traditional-ts.ipynb |
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# ## Scenario 1, Simple Http Server
# ### Making the d... | Scenario_1/GenerateDataset.ipynb |
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import warnings
import pandas as pd
from gensim.m... | test_preprocess_3.ipynb |
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import math as m
s = input("Enter a string: ")
co... | Problem set 2/8. Sherlock&Anagrams.ipynb |
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import pandas as pd
import numpy as np
import pandas_d... | Yahoo Finance Stock Data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LabRep2.ipynb |
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# ## Embedding a Bokeh server in a Notebook
#
# This n... | reviews/Jupyter_Widgets/bokeh_widget_plot_server.ipynb |
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import re
import collections
import datetime
p = re.c... | develop/.ipynb_checkpoints/re-checkpoint.ipynb |
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import ten... | data_pipeline.ipynb |
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import matplotlib.pyplot as plt
imp... | 02_p50_linear regression.ipynb |
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# %reload_ext autoreload
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# %cd /proj/... | nbs/develop.ipynb |
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# + [markdown] id="hq9XMl8_c_45"
# # 3. Train데이터와 Test데이터 분리
# + [markdown] ... | 03.MLP/03.MLP_train_test.ipynb |
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# # FastT... | fasttext_inference_reverse_engineering.ipynb |
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# import common packages
import itertools
import l... | community/aqua/chemistry/LiH_with_qubit_tapering_and_uccsd.ipynb |
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# # Classifier comparison
# https://scikit-learn.org/s... | BotDetectionClustering.ipynb |
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import plotnine as p9
import matplotlib.pyplot as plt
import nump... | scripts/plots_for_master_presentation.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ###... | python/examples/16-svm.ipynb |
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# ## Logarithmic Returns
import numpy as np
from pand... | Python for Finance - Code Files/65 Logarithmic Returns/Online Financial Data (APIs)/Python 3 APIs/Logarithmic Returns - Exercise_IEX.ipynb |
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# # Canary Rollout with Seldon and Ambassador
#
# ## ... | doc/jupyter_execute/examples/ambassador/canary/ambassador_canary.ipynb |
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# + id="6q8yZl1z9AIT" colab={"base_uri": "https://localhost:8080/", "height":... | redes_sociais/br_inep_ana_20211105.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | P2.ipynb |
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# ## Boolean Operators
#
# Let us understand det... | 05_basic_transformations/06_boolean_operators.ipynb |
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# # <font color = blue> Real-Time Driver Distraction D... | Distraction_Detection_MobileNetV2_LSTM_Main.ipynb |
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# # Breast Cancer Proteome
#
# Data
# https://www.kagg... | BreastCancerProteome_20180813_start.ipynb |
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from PyQt5 import QtWidgets, QtGui, QtCore
from ma... | PyQt.ipynb |
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import random
import os
import shutil
import torc... | notebooks/AE_testbed.ipynb |
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# + [markdown] _cell_guid="ac76a406-f2bd-4983-8aaa-9f3... | Archive/MeshNet V4.ipynb |
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import numpy as np
import pandas as pd
from rdkit impo... | topic_extraction.ipynb |
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# # PROBLEMAS DIVERSOS
# <h3>1.</h3>
# Realizar una f... | Modulo2/Ejercicios/Problemas Diversos.ipynb |
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# ## 导入所需的包
# !git log
from autox import AutoX
impor... | demo/ventilator/autox_kaggle_ventilator.ipynb |
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import os
import pickle
import numpy as np
import pand... | .ipynb_checkpoints/atis_experiments-checkpoint.ipynb |
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import pandas as pd
from simpledbf import Dbf5
import ... | .ipynb_checkpoints/first-exploration-checkpoint.ipynb |
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import sympy as sp
import numpy as np
# + pycharm={"n... | scripts/indexed_expressions_20211107.ipynb |
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import torchvision
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# + [markdown] id="THN-pFmXLq_x"
# # Stock Price Predi... | pyzoo/zoo/chronos/use-case/fsi/stock_prediction.ipynb |
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import pandas as pd
dataset = pd.read_csv("./../../spl... | data_analysis/recsys - telenor data set.ipynb |
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# # Determing Optimal Match Number for FDR Calculation... | .ipynb_checkpoints/Optimal_FDR_Calculations_lib31-checkpoint.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Classification Problems/08-wine-quality-multi-classification.ipynb |
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# +
# default_exp evaluation.metrics
# -
# # Metrics
# > Metrics.
#hide
fro... | nbs/evaluation/evaluation.metrics.ipynb |
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# # Aula 6 - File IO
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#
# Uma das coisas mais úte... | Aula 6/Aula 6 - File IO.ipynb |
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# Para quem tiver curiosidade de saber como gerar uma ... | Titanic/titanic_video1.ipynb |
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# + id="7qBwPxPuNCNM" colab_type="code" colab={"base_u... | tools/git.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/thermodynamics/thermodynamicsOfWax.ipynb |
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# <p><font size="6"><b> CASE - Bacterial resistance ex... | _solved/case3_bacterial_resistance_lab_experiment.ipynb |
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using LinearAlgebra
function sarrus(A)
... | 0017/sarrus.ipynb |
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from __future__ import print_function, division
from s... | src/2.1_LQR/Spong-Acrobot.ipynb |
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# # Dropout
# Dropout [1] is a technique for regulariz... | PA2/Dropout.ipynb |
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# + id="xvgNUMckU7Na"
from __future__ import absolute_import, division, print... | Lab6/Lab6_Logistic_Reg_Tensorflow.ipynb |
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# # GAT
# %cd /4tb/nabarun/nlp/GAT
# !python3 train.... | GCNvsGATvsSGC.ipynb |
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import numpy as np
from random import randint
from skl... | Simple Sequential Model.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | sql_vs_pandas.ipynb |
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import os
o... | examples/source-interdiction/hyperparameter-search/DNN-Hyperparameter-Search-Full.ipynb |
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# <h1><center> Barbell Graph </center> </h1>
#
#
# Thi... | graphwave/tests/.ipynb_checkpoints/Barbell Graph Example-checkpoint.ipynb |
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# ## Converting the Cornell Movie-Dialogs Corpus into ... | examples/converting_movie_corpus.ipynb |
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# Reading the csv file
import pandas as pd
data = pd.r... | Training and Testing Models/testing_in_sklearn.ipynb |
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import matplotlib.pyplot as plt
im... | explore_data.ipynb |
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# ### Try out the VortexaSDK
# First let's im... | docs/examples/try_me_out/utilisation_timeseries.ipynb |
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# # Validati... | docs/source/validation.ipynb |
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# <a href="http://localhost:8888/not... | t81_558_class_14_05_new_tech.ipynb |
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from datasets import *
from run_helpers im... | old/main_run_usps.ipynb |
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# cd ../data/external
# ## 講義音声
# [日本語講義音声コンテンツコーパス](... | notebooks/00-download-data.ipynb |
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# ライブラリを読み込む
import numpy as np
import matplotlib.... | example/ml_flow_tutorial.ipynb |
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# # List_5_3+4
# ## List_5_3
import tensorflow as tf... | ch05_clustering/List_5_3+4.ipynb |
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# # Single-sample GSEA projection (ssGSEA)
# ## B... | Single-sample GSEA projection (ssGSEA).ipynb |
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# # Spectrum Representations
#... | matplotlib/gallery_jupyter/lines_bars_and_markers/spectrum_demo.ipynb |
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# + [markdown] deletable=true editable=true
# <h1> Exp... | courses/machine_learning/deepdive/02_generalization/create_datasets.ipynb |
# # nbconvert latex test
# **Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in veh... | notebooks/4.1/test4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# **Machine Learning Basic Principles 2018 - Data Anal... | MLBP2018 Project Report [Group 169].ipynb |
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# ### LOAD DATA
import csv # for csv file import
impo... | .ipynb_checkpoints/BehaviourInvestigations-checkpoint.ipynb |
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import pandas as pd
import seaborn ... | Project Ebola.ipynb |
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# + id="hMqWDc_m6rUC" colab_type="code" cellView="form" colab={}
#@title Copy... | ml/cc/exercises/validation_and_test_sets.ipynb |
# -*- coding: utf-8 -*-
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# # Project: AI Learns to TikTok
#
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# In this n... | 3_Inference.ipynb |
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# # Common Questions
#
# Here, I answer questi... | HopML/Common Interview Questions.ipynb |
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# # Introduction to the `BrainGlobeAtlas` class
# ##... | tutorials/Atlas API usage.ipynb |