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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 [conda env:pyvizenv] * # language: python # name: conda-env-pyvizenv-py # --- # # San Francisco H...
Starter_Code/rental_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 # --- # <small><small><i> # All the IPython Notebooks in thi...
002_Python_String_Methods/017_Python_String_isnumeric().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 matplotlib.pyplot as plt import numpy as np imp...
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 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
sk_playground.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 seaborn as sns; import numpy as np; import matp...
Seaborn - Crash Course/Playing with Python.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] slideshow={"slide_type": "slide"} # # T...
Examples/Bank of Japan - Quarterly Japanese Economic Model/Q-JEM experiments.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...
word_completion_prediction_test.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 # --- # ## 加载 MNIST 数据集 # + from keras.datasets import mnis...
tensorflow1.0/04Mnist - softmax,cnn/.ipynb_checkpoints/03mnist-cnn-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 # --- # # Pre-Tutorial Exercises # # If you've arrived early...
0-pre-tutorial-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 # --- # # SLU01 - Pandas 101: Examples notebook import pand...
S01 - Bootcamp and Binary Classification/SLU01 - Pandas 101/Examples notebook.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 ('MLPricingVenv') # language: python # name: python3 # --- __author__ = "konwar.m" __copyri...
modelling_pipeline/feature_engg_script.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 # --- # # Process HIFLD data # # This notebook reads in the ...
notebooks/processing/Process_HIFLD_data.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 df = pd.read_excel('港股打新人数.xls') ...
analysis/apply_people_count.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 phuzzy from phuzzy.optimization import alphaOpt...
phuzzy/optimization/Alpha Opti Notebook.ipynb
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assessment/CMPSC 100 - Fall 2020 - Midterm Assessment.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: mmc # language: python # name: mmc # --- # + # hide pakcage non critical warnings import warnings warn...
pytorch/dcc_conv.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 librosa import numpy as np # Valor arbitra...
Non-negative-matrices/Caracterizacion de Instrumentos/Notebooks/.ipynb_checkpoints/Instrument_classifier-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 # --- # # Hyper-parameter tuning # First, let's fetch the "...
05_advanced_sklearn_usage/04_parameters_search.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 # --- # # Step 0: Pre-processing import requests import jso...
hcds-a2-bias.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 import_ipynb import pandas ...
notebooks/neuron.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 # --- # <a href="https://www.kaggle.com/luisramrez/study-pla...
study-plan-notebook.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.6 64-bit # name: python3 # --- # # Import requirements import pandas as pd import numpy as np im...
tehran-nighttime.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 pandas as pd from pandas_pro...
data_visualization/Pandas-profiling.ipynb
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sync_audio_audio_simple.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.8.3 64-bit (''base'': conda)' # name: python3 # --- # # Final Project # # * DS 5001: Exploratory T...
nlp_proj/Doc 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 # --- # ## print_object.py # %%writefile pgan_loop_module/t...
machine_learning/gan/pgan/tf_pgan/tf_pgan_loop_module.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 GLFinancial as glf import GLTaxTools as glt...
glfinancial/Example GLFinancial Workbook.ipynb
// --- // 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 // --- // + [markdown] graffitiCellId="id_...
home/Example_Notebook.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 # --- # + ### Load Packages import pyodbc import pandas as ...
Python 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 # --- # + [markdown] deletable=true editable=true # # Fittin...
day3/Fitting-a-line.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [Root] # language: python # name: Python [Root] # --- # # CKY parser with string copying # This ...
ckypy/cky.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 # --- # + [markdown] deletable=true editable=true # ## `pyre...
examples/pyreaclib-examples.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 pandas as pd from matplo...
layered_tree_draw/solution.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 # --- # <NAME>. <NAME>. 2019 г. # # # Z - фактор # Источни...
notebooks/uPVT. Z-factor.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 # --- # ### RDKit visualization example from rdkit import C...
Colab_Notebooks/SMILES_visualization.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # + [markdown] origin_pos=0 # # Appendix: Tools for Deep Learning # :label:`chap_appendix_tools` # # In this chapter, we will walk you through...
d2l-en/mxnet/chapter_appendix-tools-for-deep-learning/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 # --- first = input("Enter first name:") name = "something" ...
Lesson03-VariablesAndTypes.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 # --- # # Introduction to GIS # ## What is Info...
book/notebooks/00_IntroductionToGIS.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: py3p6 # language: python # name: py3p6 # --- # This notebook creates a log-normal density field and appl...
notebooks/make-log-normal-DESI-mask.ipynb
% -*- coding: utf-8 -*- % --- % jupyter: % jupytext: % text_representation: % extension: .m % format_name: light % format_version: '1.5' % jupytext_version: 1.14.4 % kernelspec: % display_name: Matlab % language: matlab % name: matlab % --- % ## 读取数据 clc;clear;close; result...
6-ResultAnalysis/.ipynb_checkpoints/result_analysis-checkpoint.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 # --- # ### from https://www.tensorflow.org/versions/r0.9/ge...
weekly-work/week1/basic_usage.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 # --- # + class Node: def __init__(self, info): ...
Python/tree/binary_tree.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 # --- # # Car Features and MSRP Dataet # # - `Number of Inst...
Car Price Prediction (1st trial).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 # --- # Each machine learning algorithm has strengths and we...
scikitlearn/Ex_Files_ML_SciKit_Learn/Exercise Files/02_09_Bagged_Trees.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: normal # language: python # name: normal # --- import pandas as pd import numpy as np # + data = pd.rea...
models/model_testing.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernel_info: # name: python3 # kernelspec: # display_name: Python [conda env:PythonData] # language: python # name: conda-env-P...
PyCitySchools/PyCitySchools_starter.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 data import DataLoader from model import mode...
nlp-models/tensorflow/dmn/train.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.9.5 64-bit (''base'': conda)' # language: python # name: python3 # --- import optuna # ## 핵심...
optuna_tutorial/2_basic_search_space.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 # --- # + import sys sys.path.append('../../code/') import ...
explore/Iain/sample_complement.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 # --- # ### Install Required Packages # + # install instalo...
GuinnessImageCollector (1).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 # --- # # Introduction # One of the most common tasks for p...
notebooks/01_Combining-Multiple-Excel-File-with-Pandas.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 # --- # # Ringraziamenti # # # Questo sito è stato realizzat...
thanks.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernel_info: # name: python3 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Skorch introd...
2-skorch.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...
example_folder/Sample_Notebook.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 # --- # + # Importing packages for analyzing useses import p...
Supervised Machine Learning Algorithms/K-Nearest Neighbors/K-Nearest Neighbors.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="2rFiJu_cvdUZ" colab_type="code" colab={} import pandas as pd import n...
notebooks/Unemployment_Exploration.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 # --- # # maysics.constant模块使用说明 # # constant模块包含以下常数: # # |...
maysics教程/constant说明.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 - Tensorflow # language: python # name: azureml_py38_tensorflow # --- # # Run BERT-Large trai...
integrations/ml/azure/benchmark/benchmark_tensorflow_bertlarge_training.ipynb
# <a href="https://colab.research.google.com/github/036takashima/Pandas-Cookbook-Second-Edition/blob/master/Chapter01/c1_code.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> # # Chapter 1: Pandas Foundations import pandas as pd import numpy as np ...
Chapter01/c1_code.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.10.1 64-bit # language: python # name: python3 # --- import pandas as pd from aggregate.PUMS.co...
notebooks/household_income_bands_checks.ipynb
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Loop_Statement.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 # --- # Before you turn this problem in, make sure everythin...
alc/ep6/ep6.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 lib: import matplotlib.pyplot as plt # Para...
examples/parameters/pie.ipynb
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ratings_ratio_predictions.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: MindSpore-1.0.1 # language: python # name: mindspore-1.0.1 # --- # # <center/> 自定义调试体验文档 # ## 概述 # 本文将...
docs/notebook/mindspore_custom_debugging_info.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 # --- # + colab={"base_uri": "https://localhost:8080/"} id="...
figureSI2_3.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 # --- acountbal = 50000 choice = input("Please enter 'b' to ...
exercise_notebooks/NOTE5.ipynb
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CSE_322_Software Engineering Lab/Lab_3_21.09.2020.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.7 ('sa') # language: python # name: python3 # --- # # Datasets processing # ## Import and pr...
notebooks/2.0 - Datasets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: pymedphys-master # language: python # name: pymedphys-master # --- # + import functools import pathlib i...
prototyping/auto-segmentation/sb/00-stage-0-prototyping/08-create-tfrecord.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .scala // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Apache Toree - Scala // language: scala // name: apache_toree_scala // --- // ## LOAD vs. I...
05_dml_and_partitioning/04_load_vs_insert.ipynb
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Python-Standard-Library.ipynb
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docs/Zenodo.ipynb
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intro_to_pandas.ipynb
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Chapter04/04_Graph_Neural_Networks.ipynb
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zip.ipynb
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examples/notebooks/discrete_choice_overview.ipynb
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examples/TestScript2.ipynb
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thesis/notebooks/AtomicBlocks/Fock/DistanceFromEquilibrium.ipynb
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GeneralExemplars/GeoExemplars/ObsPy_Notebook.ipynb
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dmu1/dmu1_ml_SSDF/1.2_VISTA-VHS.ipynb
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scripts/reproducibility/figures/Supplement-Figure Flywing AP n20.ipynb
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docs/examples/try_me_out/voyages_congestion_breakdown.ipynb
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SOM.ipynb
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langevin-mfpt/th-curves.ipynb
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examples/miscellaneous/DQN.ipynb
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Applied AI Study Group #1 - July 2019/week3/DL4J Example.ipynb
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content/05-classes/modules.ipynb
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Bridgingo_Sentiment_Analysis_.ipynb
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01_figure1/figure1b.ipynb
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jupyter_samples/code/learn_http.ipynb
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notebooks/33. Removing redundant information.ipynb
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example/scripts/rating_model.ipynb
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myfirstnotebook.ipynb
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sphinx-doc/figures/md-walls.ipynb
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DSA/stack/MyQueue.ipynb
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CalendarView.ipynb
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src/get_real_estate_summary_metric.ipynb
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Exercício 38 – Comparando números.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 1.3.1 # language: julia # name: julia-1.3 # --- # # Quantum Ising Phase Tr...
Day2/4_linear_algebra/2_ed_quantum_ising.ipynb