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# ## TRANSFORMERLESS POWER SUPPLY
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from IPython.di... | .ipynb |
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# + [markdown] jp-MarkdownHeadingCollapsed... | Ass4_040222.ipynb |
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# # Signal Processing
#
# [back to main page](../index... | signal-processing/index.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_Celsius_to_Fahrenheit.ipynb |
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from datasets import load_dataset
from pip... | zz3b_e2e_squad_minimal.ipynb |
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# ### Note
# * In... | Instructions/HeroesOfPymoli/HeroesOfPymoli_starter.ipynb |
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# #Python Libraries
import numpy as np
import sc... | 07_TalkingDataAdTrackingFraudDetectionChallenge/02_Ensemble_Models.ipynb |
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import numpy as np
import pandas as pd
import quandl
i... | 05 Introduction to Financial Python[]/10 Multiple Linear Regression/10 Multiple Linear Regression.ipynb |
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# + slideshow={"slide_type": "-"}
# @IMPORT-MERGE
impo... | plaster/gen/nb_templates/survey_template.ipynb |
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# ## This notebook will help you train a latent Point-... | latent_3d_points_py3/notebooks/train_latent_gan.ipynb |
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# # Apriori Algorithm: Super Market Example
import nu... | notebooks/unsupervised_ML/Apriori_Algorithm/Apriori_Algorithm.ipynb |
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# + id="coastal-manual"
import numpy as np
from numpy ... | final_notebooks/.ipynb_checkpoints/final_systems_BO-checkpoint.ipynb |
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# +
# %load_ext autoreload
# %autoreload 2
import ... | spatial_scene_grammars_examples/packages/demo_sampling.ipynb |
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# # The Harmonic Oscillator Strikes Back
# *Note:* Mu... | harmonic_student.ipynb |
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# # 2A.eco - Mise en pratique des séances 1 et 2 - Uti... | _doc/notebooks/td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees.ipynb |
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import time
import datetime
import pandas as pd
import... | loss_of_smell.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
d... | analysis/plots.ipynb |
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# + [markdown] id="L0J138mj7p1s"
# # Document AI Form ... | specialized_form_parser.ipynb |
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import random
import os
import shutil
import torc... | notebooks/AE_load_testbed.ipynb |
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import json
import requests
import numpy as np
import ... | Client-API.ipynb |
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# + id="3hGq9yG4Uawz"
# !curl -L "https://public.roboflow.com/ds/uFKCkSNz3Q?k... | Localization and Classification_Fruitdata/yolov5_Fruitdata.ipynb |
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# Import 3rd party libraries
import os... | edanalysis/eda_allmodes.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# <h1>Dist... | examples/distances.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | 02_Spanish Translation .ipynb |
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# # MULTILINGUAL STATISTICAL TERMINOLOGY DATASET
# ___... | notebooks/16-12-2019-analysing-languages.ipynb |
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# @[TOC]
# ## 库
import os
import csv
import requests... | fansMap/acquaireData.ipynb |
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# + outputHidden=... | sersic_fit_test.ipynb |
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# 
# <center><em>... | 9.1 Handling Missing Data.ipynb |
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# + [markdown] origin_pos=0
# # Transposed Convolution
# :label:`sec_transposed_conv`
#
# The layers we introduced so far for convolutional ne... | scripts/d21-en/mxnet/chapter_computer-vision/transposed-conv.ipynb |
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# # Lasso Scenario Creation Quickstart
#
# In this not... | notebooks/Lasso Scenario Creation Quickstart.ipynb |
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import numpy as np
import os
import h5py
i... | general/notebooks/view_hess_events.ipynb |
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import pandas as pd
import numpy as np
import seab... | aux/model-playground/notebooks/gapped.ipynb |
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# # Differentially Private Histograms
# ## Plotting t... | notebooks/histograms.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | Traffic_Sign_Classifier.ipynb |
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# +
'''
合并Excel表格
'''
import pandas as pd
import ... | office/01-ExcelUtils.ipynb |
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x=int(input("enter the first number"))
if(x>=0):
... | python4.ipynb |
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# # Lecture 5: Conditioning Continued, Law of Total Pr... | Lecture_05.ipynb |
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import numpy as np
import matplotlib as mpl
import... | notebooks/pal5_grz_filter.ipynb |
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# # Device
# ## Device types
# The DeviceManager sup... | docs/source/examples/Device.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebook/bnlp_colab_testing.ipynb |
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# + [markdown] tags=[]
# ## A stateless oracle: introd... | ClassMaterial/09 - Oracles/09 - code/09.0_WSC_Oracle.ipynb |
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import numpy as np
import pandas as pd... | .ipynb_checkpoints/SarcasticDetecton-checkpoint.ipynb |
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import numpy as np
import numpy.linalg
# +
V = 0.75
E... | Proposition2-3.ipynb |
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# # Hyperparameter tuning
#
# In the previ... | sklearn/notes/ensemble_hyperparameters.ipynb |
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# # Ridge regularization
#
# Ridge regularization is a... | notebooks/Learning Units/Linear Regression/Linear Regression - Chapter 5 - Ridge regularization.ipynb |
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# %matplotlib inline
# %config InlineBackend.figur... | docs/notebooks/mask_numpy.ipynb |
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#Program Name: Graphing ODS Databases - SQL Conn 0... | SQL Conn 01 - AppData display inline graph-w-PX-color-export2html.ipynb |
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# # Overnight returns
# [Overnight Returns and Firm-S... | Quiz/m4_multifactor_models/m4l3/overnight_returns.ipynb |
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# # Managing assignment files manually
# Distributing as... | nbgrader/docs/source/user_guide/managing_assignment_files_manually.ipynb |
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import upbit_trader_api
import pandas as pd
import num... | .ipynb_checkpoints/example_upbit_trader_api-checkpoint.ipynb |
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# + [markdown] id="cx82H4OmEZVR" colab_type="text"
# #Encoder
#
# + [markdow... | modelos/Encoder.ipynb |
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# ## CHILD Landscape Evolution Model
# * Link ... | notebooks/child.ipynb |
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# # Example of grouped regressions
#
# In this section... | spark-training/spark-python/jupyter-advanced-udf/Grouped Regression - Skeleton.ipynb |
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import matplotlib as mpl
import matplotlib.pyplot ... | tf04_keras_classification_model-dnn.ipynb |
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# 1. Identify all molecules that contain a carboxyl gr... | notebooks/check torsion in methyl formate-- didn't sample transition!.ipynb |
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# # Data 620 Assignment: High Frequency Words
#
# <NAME>,... | Assignment_Wk4Pt2/Wk4Pt2_jit_latest_contributions.ipynb |
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# # Plotting and Visualization
import matplotlib
impo... | ch09.ipynb |
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# # Heatmap Rio de Janeiro
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imp... | Mapas_Eleitorais/heatmap_sp/.ipynb_checkpoints/heatmap_RJ-checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | notebooks/bras_cubas/Data&Model_gen-BrasCubas_80.ipynb |
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# <h1 align="center"><font size="5"><b>Exploratory Dat... | data-cleaning-exploration.ipynb |
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# ## Filtering & adding new records
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# Filtering enables y... | docs/tutorial/filter.ipynb |
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# importing dependencies here
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# # Risk Aggregation POC - ELTs
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# This notebook read... | Risk Aggregation POC - ELTs.ipynb |
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% # <center>Numerikus Integrálás</... | Eloadas/Blokk#5.ipynb |
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# Load HAAR face cl... | Face task 6/Final_TASK_6 FACE.ipynb |
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# ### Supervised Machine Learning Models for Cros... | mouseNiu2020_SVM_supporting.ipynb |
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# #!pip install tflearn
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#Importing required l... | Alexnet.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | initial-steps-neural-network.ipynb |
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# + [markdown] id="iVLzlBnyIoIF" colab_type="text"
# # **Schnorr Digital Sign... | ipynb/SSA.ipynb |
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# + [markdown] colab_type="text" id="GC7zSrbOWiz0"
# #... | Custom vcc .ipynb |
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# + id="bHDShlG_PikW"
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import numpy... | KNN implmentation on MNIST.ipynb |
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# ## Summary: Compare model results and final model se... | Hands-on/modelling/Final model selection and evaluation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BFS.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | numpy/02.01-Understanding-Data-Types.ipynb |
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# # Correlating Returns
import alpaca_trade_api as tr... | Resources/resource_notebooks/correlating_returns.ipynb |
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from sklearn import tree
X = [[0, 0], [1, 1]]
Y = [0, ... | notebook/03-udacityIntroductionToMachineLearning/.ipynb_checkpoints/03.1-Decision-Trees-Introduction-checkpoint.ipynb |
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# ================================================... | inchi-preprocess-2.ipynb |
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# <h1>Table of Contents<span c... | notebook/[Attribution] - Vanilla Backpropagation & Ensemble.ipynb |
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# ### Import all the software necessary for the final ... | Final project/Xception_tranfer_learning.ipynb |
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# _You are currently looking at **version 1.0*... | Applied Text Mining in Python/Assignment 2.ipynb |
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# # trim_small_clusters
# an example for the use of po... | examples/filters/howtos/trim_small_clusters.ipynb |
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import json
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p... | dataset_codes/S2ORCJson2Corpus.ipynb |
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# # <center> In-class Assignment 1 </center>
# **Task... | week6/In_class_A1_192.ipynb |
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# # Tutorial for using the package `fast-ml`
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# This... | tutorials/5 Tutorial for fast_ml - Feature Engineering for Categorical Variables.ipynb |
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# # This code example is to demonstra... | 04-AmbisonicPanningFunctionsCircle.ipynb |
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# ### Qarpo
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# Qarpo library ... | Examples/Start_Here.ipynb |
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# ## Import Required Libraries
import sns... | viral_topic_analysis/lda_vs_gsdmm.ipynb |
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# name: python3... | homework/w36/e02.ipynb |
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# # Images and pixels with SimpleITK from R
# The R notebooks follow th... | R/Image_Basics.ipynb |
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fro... | 3_25_h2_iao/h2_iao.ipynb |
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# #... | 03_ConvolutionalNN/03_CNN_08_Alexnet-alexnet-cifar10.ipynb |
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# # <span style="color:orange">Anomaly Detection Tuto... | tutorials/Anomaly Detection Tutorial Level Beginner - ANO101.ipynb |
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# # Batch image processing using Python
# There are s... | 03_automate_the_boring_stuff/notebooks/04_batch_image_processing.ipynb |
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# # Interactive Plotting with `bokeh`
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# This notebook shows how to build some simple interactive plots with bokeh. Change parameters and dat... | notebooks/04_basic_interactive_plotting.ipynb |