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# ## This notebook shows how to use Orches... | fabric_examples/basic_examples/create_network_l2sts.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | ppts/material-demo/demo-slides.ipynb |
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import tensorflow as tf
import os
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gpus = tf.confi... | SRGAN/srgan/Untitled.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = "-1"
im... | debug/new_graph_fcn.ipynb |
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import numpy as np
import tensorflow as tf
from te... | Development/mnist_models_compare/duel_tree_complex_wavelet_transform-fully_connected.ipynb |
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# ## Demo of finding correspondences
#
# - Demos gener... | dense_correspondence/correspondence_tools/pytorch-finding-correspondences.ipynb |
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# ## Gender classification based on audio recordings
# ### 1 Web... | notebook/voice-gender-classifier.ipynb |
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"""Python WPS execute"""
from owslib.wps impor... | notebooks/WPS_segetalflora.ipynb |
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# <center>
# <img src="https://habrastorage.org/web/67... | coursera/ml_yandex/course6/identification/Week7Final.ipynb |
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# # Objective
# 1. Come up with a customer profile (ch... | 01 Fundementals of AIML/Week 4 - Project - Cardio Good Fitness/OLD Project 1 - Cardio Good Fitness.ipynb |
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# # Plotting
# So far we only printed out results of o... | python_basics/11_plotting.ipynb |
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# %load_ext sparkmagic.magics
# %manage_spark
# + la... | notebooks/1-data_acquisition/1.3-generate_churn_labels.ipynb |
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# # Ring Slot
# The Vector Fitting feature is demonst... | doc/source/examples/vectorfitting/vectorfitting_ringslot.ipynb |
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# # Create Stock Price Indicator Dashboard in Power BI... | _notebooks/2020-10-12-Stock-Price-PowerBI-Dashboard-using-TA-Lib.ipynb |
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# # 3 Exploratory D... | Capstone2_3EDA.ipynb |
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# # Mask
#
# In this notebook, we will be creating and... | Examples/SNR.ipynb |
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# name: c009-intel_distribution_of_python_3_oneapi-bet... | DirectProgramming/DPC++/Jupyter/oneapi-essentials-training/07_DPCPP_Library/oneDPL_Introduction.ipynb |
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SANDBOX_NAME = ''# Sandb... | 2021Q1_DSF/6.- Spark ML/notebooks/respuestas/08_machine_learning_end_to_end_clasification_con_respuestas.ipynb |
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# Most examples work across multiple plotting backends, this example is also available for:
#
# * [Matplotlib - iris_grouped_grid](../matplotl... | examples/gallery/demos/bokeh/iris_grouped_grid.ipynb |
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# 导入包
import requests
import json
from bs4 import Bea... | spider.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | yolov5/notebooks/yolov5-gwd-iter01.ipynb |
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# # import library
# +
import pandas as pd
import num... | prediktif.ipynb |
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# [](https://... | 00-Introduction-To-Jupyter-And-MyBinder.ipynb |
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# # Data Processing
# ## Importing the libraries
import numpy as np
import ... | 08. neural-network-regression-full-data.ipynb |
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import numpy as np
from sklearn impor... | data-visualize/Explore Iris Data.ipynb |
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# ![BTS](https://github.com/vfp1/bts-mbds-data-science... | Session9/6thAssignmentRecommendationSystem.ipynb |
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# + [markdown] id="_swghddpWWZW"
# # Tutorial for DeepAugment
#
# - Github: h... | deepaugment_tutorial.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | .ipynb_checkpoints/NER_CRF-checkpoint.ipynb |
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# # Portfolio Analysis Problem Set: Question 2
import... | quantfin/financial-signal-processing/portfolio-analysis/portfolio_pset_q2.ipynb |
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# # {{cookiecutter.project_nam... | {{ cookiecutter.repo_name }}/02-Analyze.ipynb |
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# # Прогнозирование временного ряда вырабо... | cases/industrial/multivariate_forecasting.ipynb |
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# # Introduction
#
# Now that you know how to access a... | SQL/SELECT-FROM-WHERE/select-from-where.ipynb |
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import torch
import torchvision
impor... | pytorch/170913-pytorch-basics.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 0-AutoClaimFraudDetection.ipynb |
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# + hideCode=true hidePrompt=true
from tqdm import tqd... | .ipynb_checkpoints/net_gui-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n"}
from auto... | tests/test_aut_adv_team_share/test_seeBothInfs_player0_win_allsteps.ipynb |
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import numpy as np
import libpysal as ps
from stwr.... | notebook/STWR_UseCase2_big_sample.ipynb |
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# # Lab 9.5: Relu + Xavier MNIST Classi... | 11. Regularizations/11-3. Relu + Xavier MNIST Classifier.ipynb |
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# # Some Examples to Compare AM with AS
#
# This noteb... | files/code/Examples_toy_and_MHD.ipynb |
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import sys
from __future__ import division
# +
import... | phasor/mechanical/PZT/rigid_beam.ipynb |
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# ### Notes on Logistic Regression
# The data consist... | notebooks/LogisticRegression.ipynb |
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# # Example data analysis notebook
#
# This notebook d... | example-data-analysis_refactored.ipynb |
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# # Make models
# *<NAME>, University of Graz*
# +
im... | over_eighty_years/comparison_notebook/compare_models.ipynb |
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# # Clustering Post-hoc Analysis
# This notebook anal... | analysis/clustering-final/Clustering - Post hoc.ipynb |
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# # Preprocessing
#
# Notebook ini merupakan bagian dari buku **Machine Learn... | jupyter/preprocessing.ipynb |
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# + id="SsiizNW-Ixs3" colab_type="code" colab={}
import numpy as np
def nonl... | Basic_NeuralNets_numpy/2Basic_NN_2layers_backpropagation.ipynb |
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# name: python37664bitbaseconda739455abeae9423... | bigmart-model.ipynb |
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# # Example notebook
# We can put examples in Jupyter ... | examples/example_notebook.ipynb |
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# +
import csv
import re
import string
file_comunas =... | base-datos/jupyter_scripts/personas-script.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | Phase_4/Time Series/ds-time_series_modeling-kvm32-main/example_modeling.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Moringa_Data_Science_Prep_W3_Independent_Project_2019_08_Esther_Robert_Python_Notebook.ipynb |
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# +
# YOU MUST MANUALLY DELETE `results` LIST
# IF YOU... | jupyter-notebooks/server/.ipynb_checkpoints/L4-diabetes-linear-regression-checkpoint.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | examples/TDE_rate_test.ipynb |
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# # OPC python使用说明
#
# ## 运行环境
#
# 运行环境 python2.7 + wi... | 工业协议/Python2.7 OpenOPC使用说明.ipynb |
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from goonalytics.grafkl import get_post_quote_dict... | python/goonalytics/ipy/grafs.ipynb |
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# # US Airlines--Which is the Most Pu... | UG_S17/Madhok-Rinkacs-Yao-USFlightDelays.ipynb |
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# + [markdown] id="nwb84BoSBCjJ"
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# + [markdown] slideshow={"slide_t... | chapters/00_inductive-python/key/09_pandas_key.ipynb |
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# + id="0RokSmWKs5pf" colab_type="code" colab={}
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# +... | Analyze the reviews of IMDB Dataset/AnalyzeTheSentimentOfReviewsWithKeras.ipynb |
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theStr = 'The ape was apex'
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# <br><h1> <img src="https://serea2017.uniandes.edu.co... | Semana01_IntroduccionModelosAprendizaje_Actividad.ipynb |
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# # WIP
# # Customer Segmentation
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# # Serving a Keras Resnet Model
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import pandas as pd
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# # SP LIME
#
# ## Regression explainer with boston ho... | doc/notebooks/Submodular Pick examples.ipynb |
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# ## Initial Impor... | credit_risk_ensemble.ipynb |
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# ## Criando o Banco de Dados e Inserindo Dados
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# ### Note
# * In... | PyCitySchools_starter.ipynb |