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import tensorflow as tf
import k... | msda/msda_res_fig_15_bottom_act.ipynb |
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# + deletable=true editable=true
import ... | scripts/Residual.ipynb |
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# default_exp seg_unet_training
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#export
from fastai im... | nbs/11_seg_unet_training.ipynb |
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import torch
import os
from datetime import dateti... | train-prepare-labels.ipynb |
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from PIL import Image
import numpy as np
from matplotl... | Data_cleaner.ipynb |
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# # 选择
# ## 布尔类型、数值和表达式
# 
# - 注意：... | rxl 9.12.ipynb |
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# # Sentiment Analysis Web App
#
# _Deep Le... | Tutorials/IMDB Sentiment Analysis - XGBoost - Web App.ipynb |
# -*- coding: utf-8 -*-
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# # Réseau de neurones pour la régression
# Nou... | 60-ann/ann.ipynb |
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# # Atul's super simple neural net
#
# _October 8, 201... | super-simple-nn.ipynb |
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# + [markdown] id="SB93Ge748VQs" colab_type="text"
# ##### Copyright 2019 The... | docs/graphs.ipynb |
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print('Hello world')
S0=100.0 # spot stock pri... | tests/b.ipynb |
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import os
import sys
sys.path.append(os.path.join(... | notebook/DataExploration.ipynb |
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# # SVM - Evaluation On Datasets
# This notebook anal... | notebooks/SVM - Evaluations on datasets.ipynb |
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# h... | Sample-Scripts-and-Notebooks/Official/Secured Locker/jupyter-basics/sczpy-basics.ipynb |
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# + id="9zF7SQGjbxbJ" colab_type="code" outputId="8b5f9039-7870-44b4-8715-284... | matrix_one (2)/day5.ipynb |
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# This ... | notebook_figures/counts_with_probability_exposure_assignments_phylotree.ipynb |
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# # Brewing Logistic Regression then Going Deeper
#
# ... | examples/brewing-logreg.ipynb |
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# %matplotlib inline
#
#
# # Importing data from EEG ... | dev/_downloads/8de2adebc31e5c03b3dea5dae8841c18/plot_20_reading_eeg_data.ipynb |
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# # Plot fig. 7.7
#
# Temperature response to forcing ... | notebooks/220_chapter7_fig7.7.ipynb |
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# # Exceptions
# Exceptions which are events that can... | L0/08 Exceptions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Attendee_Intro_to_Visualizations_with_Python.ipynb |
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# Python Fundamentals
#
# - Variables, Expressions and... | python/fundamentals/python fundamentals.ipynb |
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# # Backtest a Single Model
#
# The way to gauge the ... | examples/backtest.ipynb |
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# # Importing Neccessary Libraries
# + id... | Genre Prediction from the Movie Poster/.ipynb_checkpoints/Genre_prediction_poster-checkpoint.ipynb |
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# # APIs
#
# Instead of downloading World Bank data vi... | Pipelines/ETLPipelines/4_api_exercise/.ipynb_checkpoints/4_api_exercise-checkpoint.ipynb |
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# + id="b89ce15b"
import sys
# Find jVMC package
sys.p... | examples/ex0_ground_state_search.ipynb |
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# <a href="https://colab... | Algorithm_Evaluation_Methods.ipynb |
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import numpy as np
import pandas as pd
import string
... | 02 Pandas/Revision_01.ipynb |
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#... | module4-logistic-regression/Jud_Taylor_assignment_regression_classification_4.ipynb |
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# # cRNN Lorenz-96 Demo
# - In this notebook, we train... | Neural-GC/crnn_lorenz_demo.ipynb |
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a = 3
type(a)
a = 3.2
type(a)
a = "a"
type(a)
id... | Q1/batch1/Notebooks files/PRACTICE SAMEER.ipynb |
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# # Machine Learning Engineer Nanodegree
# ## Supervis... | finding_donors/finding_donors.ipynb |
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# # Loops
# Topics:
# 1. `while` loops
# 2. `for` ... | Loops.ipynb |
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# ### Final grade
# ___
#
# Using exercises spreadshee... | Data analytics/Language tests/Final grade.ipynb |
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# ### Setup
# #### Imports
from PW_explorer.load_wor... | Query Analysis -- 3hop-Minimal.ipynb |
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# #### Detecting missing values with np.na... | 13.NaN values.ipynb |
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# [Return to Home Page](START_HERE.ipynb)
# # Referen... | ai/RAPIDS/English/Python/jupyter_notebook/References.ipynb |
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# + deletable=true editable=true
"""Convolutional Neur... | notebooks/work-in-progress/adversarial/MNIST-CNN_learn-layers.ipynb |
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i... | 3_CNN_50.ipynb |
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# # Modifying the `Network` object
# `GeNet` supports some ... | notebooks/5.1. Modifying Network - Basics.ipynb |
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# ## Test a class for the easy retrieval of postgres d... | Notebook archive/psql_neuroballs_tests.ipynb |
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# This IPython Notebook introduces the use of the `ope... | examples/jupyter/mgxs-part-i.ipynb |
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import pdb
import os
import j... | evaluation.ipynb |
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# # Optimizing the number of layers in an LSTM Autoenc... | lstm-autoencoder-pca.ipynb |
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library(readr)
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... | notebooks/18.tximport-export-tpm.ipynb |
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# <b>Calule a derivada da função dada. Simplifique as ... | Problemas 2.2/07.ipynb |
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# ### Ingest and Translate MT... | MTRduino/MTRduino_raw2engr.ipynb |
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# ## Face and Facial Keypoint detection
#
# After you'... | 3. Facial Keypoint Detection, Complete Pipeline.ipynb |
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# Notebook version 1.0, 31 Aug 2021. Written by <NAME>... | Noise-modelling/Tutorial - Noise simulation for QAOA.ipynb |
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# The code was removed by Watson Studio for shar... | Aprendizaje No Supervisado/Clustering_2.ipynb |
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# # WeatherPy
# --... | WeatherPy/WeatherPy.ipynb |
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# <div class="alert alert-block alert-info">
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# # Programming Exercise 2: Logistic Regression
# +
#... | Week 3/Notebook-ex2/Programming Exercise 2- Logistic Regression.ipynb |
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# ## Feature Creation: Combine with reference f... | examples/creation/CombineWithReferenceFeature.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ETK_thorn-NRPyPlusTOVID.ipynb |
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# ## Compute the derivative for f(x)=x^2
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def get_... | Calculus/Derivative.ipynb |
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# + deletable=true editable=true language="latex"
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#... | H_Polynomials-Copy1.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | EDA.ipynb |
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# name: python37664bitazuremlcustomerchurnconda333f9... | notebooks/explore-data.ipynb |
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from sentence_transformers import SentenceTransfo... | kpfSBERT_clustering.ipynb |
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# # Box Chart
import matplotlib.pyplot as plt
import ... | data-visualization/charts/box chart.ipynb |
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# Import required libraries
import pandas as pd
from s... | K-means Clustering.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Digitdataset.ipynb |
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import numpy as np
import pandas as pd
import linearso... | Discussion Notebooks/Econ126_Discussion_Week_07.ipynb |
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# # Peakfit class example
# Fitting is based on the LM... | examples/3.peakfitting_example.ipynb |
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import os
os.chdir('../..')
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import pandas as pd
i... | code/gael/data_analysis.ipynb |
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# + jupyter={"outputs_hidden": false}
# %pylab inline
... | random/.ipynb_checkpoints/02_base_weibull-checkpoint.ipynb |
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from DatasetHandler.BiwiBrowser import *
biwi = readBI... | DeepRL_For_HPE/Older_VGG16Runner_Notebooks/.ipynb_checkpoints/VGG16RunnerOnMSI-checkpoint.ipynb |
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# +
# coding: utf-8
import numpy as np
def smooth_cu... | common/util.ipynb |
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# !python3 train.py --... | test.ipynb |
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# + [markdown] colab_type="text" id="eIrvnAbGZ1wP"
# ##### Copyright 2019 The... | site/en/guide/keras/rnn.ipynb |
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# Dependencies
import matplotlib.pyplot as plt
import ... | 05-Matplotlib/3/Activities/08-Stu_Students_t_test/Unsolved/ttest.ipynb |
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videos = """
https://www.youtube.com/watch?v=cyU3Qgox3... | data/semisupervised-malay/download-videos.ipynb |
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# http://ataspinar.com/2017/05/26/classificati... | notebooks/scikit_classification.ipynb |
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import tensorflow as tf
from tensorflow.keras.laye... | vertical_backdoor_attack.ipynb |
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# # Implement a Singly Linked List
#
# For this interv... | Linked List Interview Problems /Implement a Singly Linked List.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | gaussian_code_exercise.ipynb |
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# # Semantic Segmentation with Keras
#
# In this ex... | Mod04/02-Unet/U-Net (Keras).ipynb |
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print(os.getcwd())
def update_working_directory()... | notebooks/3.0-yp-Comparison.ipynb |
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from bs4 import... | Missions_to_Mars/mission_to_mars.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | reuter_LSTM.ipynb |
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// %conf streaming=true
// ## Markdown cell
/... | src/test/resources/conf/error_job.ipynb |
# -*- coding: utf-8 -*-
# # 边界检查
#
# 和许多其他现代编程语言一样，Julia 在访问数组元素的时候也要通过边界检查来确保程序安全。当循环次数很多，或者在其他性能敏感的场景下，你可能希望不进行边界检查以提高运行时性能。比如要使用矢量 (SIMD) 指令，循环体就不能有分支语句，因此无法进行边界检查。Julia 提供了一个宏 `@inbounds(...)` 来告诉编译器在指定语句块不进行边界检查。用户自定义的数组类型可以通过宏 `@boundscheck(...)` 来达到上下文敏感的代码选择目的。
#
# ## 移除边界检查
#
# 宏 `@boundscheck(...)` 把代码块标记为要执行... | zh_CN_Jupyter/doc/src/devdocs/boundscheck.md.ipynb |
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# <h1>Table of Contents<span c... | numpy/Numpy basic tutorial.ipynb |
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# # 17. Modern Regularization Techniques
# We are now... | Deep_Learning/02-Modern_Deep_Learning-10-Modern-Regularization-Techniques.ipynb |
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# # Extreme Gradient Boosting Classification using DMatrix
# This Code template is for the Classification task using XGBoost along with the D... | Classification/XGBoost/XGBoostClassifier_DMatrix.ipynb |
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# + [markdo... | docs/tutorials/stable_marriage/main.ipynb |
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import tensorflow as tf
import numpy as np
import matp... | 4 Prediction/4 fl340 prediction/MLP-Lag24-Prediction-FL340.ipynb |
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from bayes_tec.plotting.plot_datapack import animate_d... | notebooks/devel/plot.ipynb |
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# IPython.OutputArea.auto_sc... | Experiment2_HKU-IS.ipynb |
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# + [markdown] colab_type="text" id="sblS7n3zWCWV"
# *... | tensorflow/lite/micro/examples/hello_world/create_sine_model_ko.ipynb |
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import numpy as np
import ipyvolume as ipv
from forest... | notebooks/sandbox/Illustrating grid interpolation.ipynb |