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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Importing the libraries import numpy as np import pa...
src/2D) Using_ScoreComparison.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Testing GalFlow convolutions against GalSim # %py...
notebooks/TestingFourierShear.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %matplotlib inline # # PyTorch: optim # -----------...
two_layer_net_optim.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
colab_notebooks/Visualizing_Detections_With(out)_Occlusion.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Import Dependencies import pandas as pd import numpy...
Web_Application_Example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Getting started with TensorFlow (Eager Mode) # # *...
courses/machine_learning/deepdive/02_tensorflow/a_tfstart_eager.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # <font color='darkblue'>What is a function?</font> ...
Ch2_UsingFunction.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <table width = "100%"> # <tr style="background-col...
notebooks/BQM_Examples_TSP.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # MLG: Lab 5 (Part 2) # # ## Exercise 3: Self-organi...
src/SOM_part2.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import xml.etree.ElementTree as ET import pandas as pd...
scripts/xml_a_csv_camiones.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Tabular ANN for Exploration of DEAP Dataset # SVM ...
src/models/2020-07-27_DMD-SVM_01.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import altair as alt import os os...
reports/.ipynb_checkpoints/Graph1-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # France's Effectiveness in Attack # import relevan...
code/france_attack.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # GPU-accelerated interactive visualization of singl...
notebooks/hlca_lung_gpu_analysis-visualization.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <h1> # <center>Problema 4</center> # </h1> #...
Problema 4/Problema 4.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.6.12 64-bit (''torchenv'': conda)' # metadata: # interpreter: # hash: 287fbb96b1d893c...
mnist_vae_pytorch.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Linear Regression with PyTorch # # #### Part 2 of...
linear-regression.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # <h1>On Galerkin approximations for the QG equations<...
index.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import glob import logging import pandas as pd imp...
python/notebooks/iris_write_tf_records_example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Regresión # # Datos de [renta de bicis](http://arc...
6_Metodos_Regresion.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Gibbs sampling in 2D # # This is BONUS content rel...
notebooks/GibbsSampling.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from falass import readwrite, job, sld, reflect, compa...
example/example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import tensorflow as tf tf.enable_eager_execution...
Automatic differentiation and gradient tape.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.9.12 (''venv'': venv)' # language: python # name: python3 # --- # + [markdown] cell_id="52eafc...
matplotlib tutorial/plot_lifecycle.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Segmented deformable mirrors # # We will use segme...
doc/tutorial_notebooks/SegmentedDMs/SegmentedDMs.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # %matplotlib inline # + import matplotlib matplotlib...
experiments/HowNotToPlots_Tables.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import json # + with open('dumping-instagram-6-july-2...
pretrained-model/wordvector/social-media-preprocess.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np import matplotl...
numpytest/jupyter/test10.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from statsmodels.stats.proportion import proportio...
binomial_ci_normal_approx.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.6.0 # language: julia # name: julia-1.6 # --- # ### 3.2.1 CBOWモデルの推論処理 ...
ch03/cbow_predict.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Numeric data or ... ? # # In this exercise, and t...
cleaning_data_in_python/1_common_data_problems.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # cd /Users/cfe/Dev/fastapi-nosql/ from r...
nbs/Scrape with Selenium & Parse with Reqeusts-HTML.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Building two simple polynomial regression model #...
simplepolynomialregressions.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # **Fellowship.ai Challenge** # * **Name**: <NAME> ...
Sentiment Analysis of Airline Tweets/US Airlines Sentiment Analysis (ULMFIT Method).ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import tensorflow as tf from tensor...
Cat and Dog Classifier - Convolution Neural Network .ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [default] # language: python # name: python2 # --- # # MPG Cars # ### Introduction: # # The foll...
05_Merge/Auto_MPG/Exercises.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import torch import torchvision import torchvision...
Pytorch_CNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # # Objective: Learn to do clustering and ...
assignment_04_PCA_clustering.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9 (tensorflow) # language: python # name: tensorflow # --- # + [markdown] id="0joqdbKedFtm" # <...
t81_558_class_07_5_tabular_synthetic.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd # label_csv = np.loadtxt(open('/co...
Feature_selection_using_rbf_kernel.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Copy_of_Real_Time_Voice_Cloning.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ![rmotr](https://user-images.githubusercontent.com/7...
Reading Data/lesson-1-reading-csv-and-txt-files/files/Lecture.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from __future__ import absolute_import, division, prin...
notebook-tutorial/notebooks/02-Visualization-and-code-organization.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] papermill={"duration": 0.013446, "end_t...
Model backlog/Models/Inference/157-cassava-leaf-inf-effnetb4-drop-connect-rate-04.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import torch import torch.nn as nn import torch.nn.fu...
pytorch-learning-texts.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import math, os, sys import matplot...
rf_model.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Validation Playground # # **Watch** a [short tutor...
great_expectations/init_notebooks/pandas/validation_playground.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:py2] * # language: python # name: conda-env-py2-py # --- # + import matplotlib.pyplot ...
plot2/mrw2dd_modelC_export.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # + from example_robot_data import load fr...
ur5 (DAE).ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from sympy.physics.units import * from sympy impor...
ipynb/WB-Klein/5/5.3_cc.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Recurrent_Neural_Networks_Introduction_to_LSTM.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np from operator i...
countries_data_processing.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.8.8 64-bit (''draco'': conda)' # metadata: # interpreter: # hash: 1417893cfb28aac8f49...
docs/api/schema.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .ps1 # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: .NET (PowerShell) # language: PowerShell # name: .net-powershell # --- # # T1056.002 - Input Capture: G...
playbook/tactics/credential-access/T1056.002.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # SOP011 - Set kubernetes configuration context # ===========================...
Big-Data-Clusters/CU4/Public/content/common/sop011-set-kubernetes-context.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from ContentUtil import ContentUtil import pandas as p...
textClassification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- #sam cleaning/eda import pandas as pd import numpy as ...
code/sam-cleaning.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # hasthags indicate notes about code; the code bel...
logit-regression/logit.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="EYY2wm7QNXDg" colab_type="code" colab={} ''' Numpy Library ''' impo...
ml_course/ipynbfiles/NumpyLibrary.ipynb
// -*- coding: utf-8 -*- // --- // jupyter: // jupytext: // text_representation: // extension: .cpp // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: C++17 // language: C++17 // name: xeus-cling-cpp17 // --- // # Refer...
notebooks/programacao-i/referenciais.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # For Development and debugging: # Reload modul withou...
workspace/Interpretability/SP100_correlation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import sys sys.path.insert(0, '../') # + from PIL imp...
mnist/playground.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # #### **Title**: Segments Element # # **Dependencies** Bokeh # # **Backends** [Bokeh](./Segments.ipynb), [Matplotlib](../matplotlib/Segments....
examples/reference/elements/bokeh/Segments.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Pyolite # language: python # name: python # --- # # Altair in `JupyterLite` # # **Altair** is a declarat...
examples/pyolite - altair.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## 2.6 制作中文文档 # # 起初,LaTeX只提供英文的编译环境,对包括中文在内的其他文字支持程...
chapter-2/section6.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <div class="alert alert-block alert-info" style="mar...
Data Analysis with python/DA0101EN-Review-Exploratory-Data-Analysis.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] id="ojm_6E9f9Kcf" # # GRU 228 # * Opera...
notebooks/GRU_228.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Ordered Pitch Class Interval (UPCI) import music2...
Ordered Pitch Class Interval.ipynb
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source/diffusion-approximation/genfunc-bid-diffapprox.ipynb
# ##### Copyright 2021 Google LLC. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writ...
examples/notebook/contrib/place_number_puzzle.ipynb
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GetCleanJSONDump.ipynb
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intro-to-rnns/.ipynb_checkpoints/Anna KaRNNa-checkpoint.ipynb
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1/1.ipynb
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examples/tutorials/translations/chinese/Part 05 - Welcome to the Sandbox.ipynb
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work/TRASE_overlap_GADM36.ipynb
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1_notmnist.ipynb
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2 - Python For Data Science/4.2 WriteFile.ipynb
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Notebooks/2_Task_1.ipynb
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Part I Basic Usage/04.Overfit and Underfit.ipynb
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tests/pdf/ipynb/index.ipynb
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tutorials/00_introduction.ipynb
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Join all tables and run LSTM model.ipynb
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Entity Explorer - IP Address.ipynb
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Python/7. collection/37. collections named tuple.ipynb
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examples/cfd/05_laplace.ipynb
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Intro to Machine Learning/exercise-2-explore-your-data-preet-mehta.ipynb
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deepmath/deephol/train/B_Skeleton_Architectures/old/.ipynb_checkpoints/biderctional_1-checkpoint.ipynb
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language-translation/dlnd_language_translation.ipynb
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exercises/04_Exercises-control-flow.ipynb
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notebooks/sequential_combine_images_using_metadata.ipynb
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Multipanel Figures.ipynb
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notebooks/cnn_model.ipynb
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_build/jupyter_execute/curriculum-notebooks/Mathematics/IndependentProbability/independent-probability.ipynb
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Chapter05/7. MNIST DCGAN example.ipynb
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notebooks/.ipynb_checkpoints/data_visualizzation-checkpoint.ipynb
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ml_model/SpotifySongSuggestorUnit4Build.ipynb
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ipython/EquityAnalyse.ipynb
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Generative Deep Learning with TensorFlow/Week 2 AutoEncoders/Lab_4_FashionMNIST_CNNAutoEncoder.ipynb
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Facial landmark 15.ipynb
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tests/test-recipes/variants/conda-build-demo.ipynb