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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 # --- # + [markdown] tags=[] # # Example: CanvasXpress scatt...
tutorials/notebook/cx_site_chart_examples/scatter2d_10.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 # --- # ### MaskRCNN training. Balloon dataset # + import o...
src/notebooks/example_training_balloon.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="Ntyw6658nVwV" executionInfo={"status": "ok", "timestamp": 16472382883...
source/NLP_imdb_movie.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 # --- # ### Fake PII data: Exploratory data analysis # # Thi...
notebooks/PII EDA.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 # language: python # name: python36 # --- # Copyright (c) Microsoft Corporation. All rights r...
Automated_ML/02_AutoML_Training_Pipeline/02_AutoML_Training_Pipeline.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 os from pathlib import Path testfolder = P...
docs/tutorials/(development) Glass Test.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.8 # language: python # name: python3.8 # --- # # Azure ML Compute Python SDK # # description: o...
concepts/compute/azureml-compute-api.ipynb
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tiny_nerf_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 # --- # + import pandas as pd from pandas import DataFrame i...
notebooks/week_bar_chart.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 # --- # # Super-Convergence Learning Rate Schedule (TensorF...
apphub/lr_controller/super_convergence/super_convergence.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 requests from bs4 import BeautifulSoup from sel...
ETF-data-hk-stock-etf-info-v20181015.ipynb
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utils/SyntheticProgramsGenerator/Dataset_generator.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: python3 # --- import PIL.Image import numpy as np int(None)...
explore.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.7.11 64-bit (''mrcnn'': conda)' # name: python3 # --- # # Mask R-CNN - Train on Shapes Dataset # #...
samples/shapes/train_shapes.ipynb
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FirstMissingPositive41.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 # # The BioGraph format is a compress...
python/jupyter/biograph/BioGraph_SDK_Tutorial.ipynb
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ECE542_Hw03a_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 # language: python # name: python3 # --- # + [markdown] tags=[] # # KFServing Deployment Pipeli...
samples/contrib/e2e-outlier-drift-explainer/kfserving/kfserving_e2e_cifar10.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 # --- # # Data Collection for Hype-Machine # #### Setup and...
src/Data_Collection.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_csv('data/camh/s...
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 # --- import librosa import os import tensorflow as tf impor...
speech-to-text/6.birnn-attention-ctc-beam.ipynb
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Task1/Linear_Regression.ipynb
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ANOVA Analysis.ipynb
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lab2/Part1_MNIST.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 gym import matplotlib.pyplot...
openai_gym/Understanding Gym enviroments.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 Modules import ipywidgets as widgets from ...
Interactive_fit_main.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 # --- # *Accompanying code examples of the book "Introductio...
code/_old-material/appendix_tensorflow-basics/appendix_g_tensorflow-basics.ipynb
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project_notebook_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 # language: python # name: python3 # --- import pandas as pd import matplotlib.pyplot as plt ...
DecisionTree_CompanyData.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 cv2 as cv import matplotlib....
opencv/Gui Features in OpenCV/Drawing Functions in OpenCV.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 # --- # # Check which Lipids are ACM dependent # - Compare l...
code/ACM_Dependency.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 # --- # # Which GPU to use # + multiGPU = False whichGPU = ...
mainCode/1.old/TL-GPU1.old.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 os import pandas as pd import pyomo.environ as ...
wl_csv.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 # --- # reload packages # %load_ext autoreload # %autoreload...
notebooks/dataset-projections/mnist/mnist-compare-embedding-time.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="view-in-github" colab_type="text" #...
speechemotionrecognitionrnn.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><img src='../../img/logo.png' width="30%"> # #...
examples/tutorial/tutorial_part1.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 # --- # # Imoport necessary modules # + import numpy as np ...
Final_project_HDF_f105w_evaluation.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 # --- # # Broadcast Joins # # Joining two (or more) data sou...
pyspark-advanced/jupyter-joins/Broadcast Joins - Full.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 # --- # #### The purpose of this notebook to convert the JSO...
notebooks/bitcoinabuse 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 # --- # ## Exercise 3.01: Mall Customer Segmentation - Under...
Chapter03/Exercise3.01-3.06.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 # --- # # ngl\_resum: a package to resum non-global logarith...
docs/nglresum.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 # --- # # Variables # The understanding of variables in prog...
week_1/week_1_unit_2_variab_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 (ipykernel) # language: python # name: python3 # --- # # Counterfactual emissions scenarios # #...
03_Counterfactual_Scenarios.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 # --- # # 0.0. IMPORTS # + import math import numpy as np ...
m03_v01_store_sales_prediction.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="VhYTQjkrIU_0" # !wget https://data.vision.ee.ethz.ch/cvl/clic/mobile_...
CAE_Implementation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python3 (tf-gpu) # language: python # name: tf-gpu # --- # + import traci import pandas as pd import ran...
background_traffic_elimination/log-bus-data-in-normal-simultion.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 matplotlib as mpl import mat...
SWELL-KW/SWELL-KW_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 # --- # <h4>Hidden factors Latent models</h4> # # # <p></p> ...
hinton/hidden_factors.ipynb
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week3/IST597_MLP_withkeras_collab.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 import matplotlib.pyplot as plt i...
machine-learning/HSE-AML-HW-1.ipynb
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stable/_downloads/65f9e13513d4b308c2019298009b3efd/plot_decoding_csp_eeg.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 add_parent_path import add_parent_path with ...
notebooks/with_compile_flags.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 datetime import datetime from typ...
notebooks/serialization.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 # --- # <center> # <img src="../../img/ods_stickers.jpg"> # ...
jupyter_russian/tutorials/tsfresh_Levka.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 # --- # # Example of processing UI changes to pandas changes...
models/4.1.1 Model Manipulation/.ipynb_checkpoints/Changing Model State in Response to UI Changes-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 # --- # # Numpy Array Basics - Boolean Selection import sys...
3 - NumPy Basics/3-1 Numpy Array Basics - Boolean Selection.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 # ### Load csv data as DataFrame ...
LIVE/labs/pandas/DF/imdb.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 # --- # # Estimating COVID-19's $R_t$ in Real-Time # <NAME> ...
notebooks/Realtime R0.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://qworld.net" target="_blank" align="...
quantum-with-qiskit/Q36_Superposition_and_Measurement_Solutions.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 # --- # # Perlin 2d Example # ## To run this example instal...
docs/examples/perlin 2d 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 # --- # # **Traffic Sign Recognition** # # **Build a Traffic...
README.ipynb
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Limpeza_de_dados,_outliers_e_valores_ausentes.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] tags=["remove_cell"] # # Hybrid quantum...
content/ch-machine-learning/machine-learning-qiskit-pytorch.ipynb
# + [markdown] deletable=true editable=true # Largest Rectangle in Bar Chart puzzle # + deletable=true editable=true >./ (* >:@i.@#) >./&> +/;.1 each <"1 |: 0, (2 3 4 2 5 1) #"0 (1) # + deletable=true editable=true [ largest_rectangle =. 13 : '>./ (* >:@i.@#) >./&> +/;.1 each <"1 |: 0, y #"0 (1)' # + deletable=true ...
Puzzles.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:metis] * # language: python # name: conda-env-metis-py # --- # + import os import re i...
scrape_wunderground.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 os, sys, string from collections import Cou...
Phase 4 generate text/Generate.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 # --- # # Searching for best models by tuning params # ## L...
Projekty/Projekt1/Grupa1/JakubowskiKorbinSlapek/scripts/params-tuning.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 # --- # ### 特征缩放 # # 对于任何基于距离的机器学习模型(正则化回归方法、神经网络,现在是 KMeans...
Unsupervised Learning/01 Clustering/Feature_Scaling-zh.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 # --- # dr. <NAME> (www.ladisk.si, <EMAIL>) from pyTrigger ...
Showcase - pyTrigger.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .rs // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Rust - nixpkgs // language: Rust // name: rust_nixpkgs // --- // + let foo = 1336 + 1; println...
example/Rust/simple.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # <div class="contentcontainer med left" style="margin-left: -50px;"> # <dl class="dl-horizontal"> # <dt>Title</dt> <dd> HeatMap Tap...
examples/reference/streams/bokeh/Tap.ipynb
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README.ipynb
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Titanic-random-forest-grid-search (1).ipynb
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Tensorboard_Projection_From_Vectors.ipynb
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examples/colab/spice.ipynb
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Aula1_Pandas.ipynb
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example/Inference/BayesParameterEstimation/Bayesian_parameter_estimation_MCMC.ipynb
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playground/mel/sentiment_classification_au_DL_100k_sampling.ipynb
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ch_01/exercises_stat library.ipynb
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Spring2021_DeCal_Material/Homework/Week7/.ipynb_checkpoints/HW 6 Solutions-checkpoint.ipynb
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source/ja/more_dynamics.ipynb
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Model_Experiment.ipynb
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sagemaker_model_monitor/visualization/.ipynb_checkpoints/SageMaker-Model-Monitor-Visualize-checkpoint.ipynb
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WalmartSale/working/1.4.Create_Target_Forecast.ipynb
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part-1-github/test/unit_test.ipynb
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lfp_atn_simuran/notebooks/ATNx_CA1_LFP.ipynb
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P31-32_GPU_Train/GPU_Train_method_1.ipynb
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notebooks/work-in-progress/translation/1-TED-parallel-texts.ipynb
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sentiment_analysis_workshop_code.ipynb
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01-tensors-basic.ipynb
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Accounting Internship/Loading TB/Load Trial Balance into 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 # --- from fastai import * # Quick access to most com...
examples/text.ipynb
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notebooks/create_wf_frequencies_table.ipynb
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01_Variables_Operators_DAC.ipynb
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analysis/KnowledgeImprovement_and_Post-testActivity.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 # --- # Initialisation Cell from matplotlib import pyplot as...
2018/release/Test3/test3.ipynb
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Deep-Learning-master 2/Shapes in Deep Learning.ipynb
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examples/99-advanced/extending-pyvista.ipynb
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Selfie/popularity_score_qcut.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 matplotlib.pyplot as plt # %...
scripts/chart_internal.ipynb