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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 3.9.1 64-bit (system) # name: python3 # --- # # Bootstrap Method for Two Samples # This notebook wi...
GoliathResearch/Boot_2_Samp_Test.ipynb
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exploratory_data_analysis/.ipynb_checkpoints/measurements_contingent_eod-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 # --- % pylab inline from __future__ import print_function ...
notebooks/goldset as 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 # --- # # Workshop Tutorial 1: Practical Apricot Usage # # W...
tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb
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.ipynb_checkpoints/audio-checkpoint.ipynb
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Play_Golf.ipynb
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site/ko/probability/examples/Eight_Schools.ipynb
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Preprocess.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .sh # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Bash # language: bash # name: bash # --- # ![aga](img/AB_logo.png) # # Shell Sc...
01_Shell_Scripting_Part_One.ipynb
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notebook/beautiful_soup.ipynb
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demo.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 # --- # ## vue实例 # - vue实例通过`new Vue()`来创建,让里面定义的`el`接管dom的...
vue/2-vue.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="gtlAv2oq9yzd" colab_type="code" colab={"base_uri": "https://localhost...
Harshitha/Copy_of_List_Assignment.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="LLUZb-SYR86C" import numpy as np import tensorflow as tf def deepfo...
DeepFool.ipynb
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tsv/Untitled.ipynb
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mechanism_of_action/moa_blends.ipynb
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src/anli.ipynb
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module02/lesson12/08_normality/test_normality.ipynb
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Fruit_CNN_pre.ipynb
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notebook/Probablistic Rules-Snorkel-DrugRepurposing.ipynb
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Exemplo.ipynb
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Scripts/.ipynb_checkpoints/Expenditure - Basic Sanity-checkpoint.ipynb
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05_Applied Social Network Analysis in Python/Week_1/Loading+Graphs+in+NetworkX.ipynb
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notebooks/MakeLambdaFunction.ipynb
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modules/Microsoft_Data/Microsoft_Graph/notebook/GraphAPI_module_ingestion.ipynb
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11. Python Dictionary/1. How to create a dictionary.ipynb
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code/vantage_com.ipynb
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DownloadOpenStreetCam.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # CA Analysis $k=5$ # This is my second attempt to look at the CA with $k=5$. this time i've # sampled a bit more evenly and hopefully it...
notebooks/k5_samples_plots.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 # --- # # Deep Learning # # # ### Neural Networks # A neural...
notebooks/.ipynb_checkpoints/DNN on CIFAR10 tf.keras Batch Normalization Lecture-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 # name: python3 # --- # + [markdown] id="bEqdz1ZUMaj1" # ## Loading of Miller ECoG data of motor im...
projects/ECoG/load_ECoG_motor_imagery.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 imp...
atilla_gosha/Regularization.ipynb
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step3.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 # --- # ## Setup a classification experiment # + import pan...
examples/notebooks/Interpretable Classification Methods.ipynb
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sean_notebooks/linear_regression/linear_regression_tiny.ipynb
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notebooks/Preprocess images.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 # --- # # Tutorial about setting up an analysis ...
docs/tutorials/notebooks/Analysis_pipeline.ipynb
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notebooks/902-vs-accidentes-trancito.ipynb
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tax_calculation.ipynb
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1.Introduction to TensorFlow/Week3/Exercise_3_Question.ipynb
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hSBM_topic-dist.ipynb
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client/workflows/demos/nyc-taxi-atlas-end-to-end.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 # --- # # Credit Card Fraud Detection # ## Introduction # #...
03_Validation/Credit Card Fraud Detection.ipynb
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notebooks/week4_lecture.ipynb
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notebooks/vis_test.ipynb
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docs/Code.ipynb
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media/Quantum Circuits to Generate the Collapses.ipynb
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Code/trial!.ipynb
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.ipynb_checkpoints/iwildcam-Copy1-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia # language: julia # name: julia-1.5 # --- # # Adaptivity at a singularity # In {doc}`basics-sing`...
book/ivp/demos/adapt-sing.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 url = 'http://en.most-famous-pain...
paintings.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 from rdkit import Chem, DataStructs...
Assignments/3. MLP/assignment3_soojung.ipynb
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wordvecs/plots.ipynb
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notebooks/logistic-regression-and-random-forest.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # name: python2 # --- # + #Dict is #item product in dict. 'product' : 'internet' #'count' : salesn...
sellarchive.ipynb
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how-to-use-azureml/automated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.ipynb
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Coronavirus Data Set.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="F67xqO4tayCD" colab_type="code" colab={} # Decision Tree Classificati...
Decision_Tree_Classification/Decision_Tree_Classification.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 re f = open('puzzle_12_input.txt', 'r') pairs ...
code_12.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 # --- # ## 3. Fitting "in-the-wild" images # # #### Prerequi...
notebooks/3. Fitting in-the-wild images.ipynb
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pix2vertexTest.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 # --- # + # Copyright 2021 NVIDIA Corporation. All Rights Re...
examples/tabular-data-rossmann/02-ETL-with-NVTabular.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 os f...
Z_ALL_FILE/Jy1/omdf_loop-checkpoint.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 1.7.1 # language: julia # name: julia-1.7 # --- import Pkg Pkg.activate("....
nbs/.ipynb_checkpoints/gwesp-checkpoint.ipynb
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notebooks/00_demo_layer.ipynb
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final/notebooks/scratch/svm-scratch.ipynb
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ch03-data_preparation/用到的数据集.ipynb
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02-model-training-hugectr.ipynb
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chapter15_sequence.ipynb
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src/scripts/mondo_scratch_notebook.ipynb
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HackerEarth/Comrades - II.ipynb
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src/ReportGenPPT.ipynb
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notebooks/Zeek_to_Kafka.ipynb
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6_Registration_Framework_Components.ipynb
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classificar_iris/iris_cruzada.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 Preprocessing - EIT - Machine Learning # # ##...
main/eit_real.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 # --- # # Stacks, Queues & Heaps # © <NAME>, 2019. # # ### S...
data-structures/Stacks, Queues & Heaps.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 # --- # # Batch processing with Argo Worfklows # # In this n...
examples/batch/argo-workflows-batch/README.ipynb
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March/Week12/83.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 scip...
Mortgage Propensity Modelling/notebooks/clustering.ipynb
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WeatherPy/WeatherPy.ipynb
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Module3/Module3 - Lab6.ipynb
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azure/img_classification_cognitiveservices_cv.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(1, 'C:/Users/peter/Des...
Examples/Panel_EWMA.ipynb
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Panda/Untitled.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 df = pd.re...
data/processed/dataProcessing.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 ml3 EXP_FOLDER = os.path.join(ml3.__p...
ml3/experiments/Loss shaping visualization.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 # --- # # basemap # # As Randy has shown, matplotlib has a ...
docker/notebooks/basemapProjections.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (pommer) # language: python # name: pommer # --- import pommerman from pommerman import agents im...
rl_agent/tambet/Eval SimpleAgent.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda root] # language: python # name: conda-root-py # --- # # Sparse Probit Demo # # In this de...
demos/sparse/sparse_probit.ipynb
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gpt-2_chinese.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 (tensorflow) # language: python # name: tensorflow # --- import numpy as np import seaborn as...
red_wine_classifier.ipynb
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examples/majority.ipynb
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testscripts/.ipynb_checkpoints/Untitled11-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 # --- # + # default_exp benchmarking # - # # benchmarking #...
nbs/benchmarking.ipynb
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experiments/ffn/generating_image_masks.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 # --- # # seaborn package # # This notebook is based on http...
seaborn.ipynb
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Welcome.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 0.6.2 # language: julia # name: julia-0.6 # --- using Revise #addprocs(4) using Walk1DMDP, CMDPs u...
notebooks/DPW_Walk1D.ipynb
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PySpark/Cal4-PySpark-Statelem&Pipeline-SparkML.ipynb