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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 # --- # # Deep Learning with MNIST Dataset using Tensorflow ...
DL_mnist.ipynb
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.ipynb_checkpoints/Prev Data-checkpoint.ipynb
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examples/basic_example.ipynb
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Wind and Light.ipynb
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in_progress/Tutorial-GiRaFFE_NRPy_Main_Driver.ipynb
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05/Scrape MyMovies.ipynb
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m01_books_scrapping.ipynb
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11_excepciones_personalizadas.ipynb
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week08_conversation/seminar.ipynb
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note/06_LinerModelSelectionAndRegularization.ipynb
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OGGM_flowchart.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 numpy as np import matplotlib.pyp...
data-analysis/TFIM-chain-logsweep-DM.ipynb
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optimization_algorithms/01 A Gentle Introduction to the BFGS Optimization Algorithm/A Gentle Introduction to the BFGS Optimization Algorithm.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> HSV Element</dd> # ...
examples/reference/elements/matplotlib/HSV.ipynb
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notebooks/detectron2_example.ipynb
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examples/Interactive Widgets/Widget Styling.ipynb
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graphs_trees/invert_tree/invert_tree_challenge.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 # --- # # Лекция 17 "Хеш-таблицы" # # ### Финансовый универс...
Course I/Алгоритмы Python/Part2/лекции/lec17_asd4/lec17_asd4_v6.ipynb
;; --- ;; jupyter: ;; jupytext: ;; text_representation: ;; extension: .scm ;; format_name: light ;; format_version: '1.5' ;; jupytext_version: 1.14.4 ;; kernelspec: ;; display_name: Calysto Scheme 3 ;; language: scheme ;; name: calysto_scheme ;; --- ;; ## Lec20 `#23/11` ;; ...
Lectures/.ipynb_checkpoints/Lec20-checkpoint.ipynb
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aws/mo-utility/create_ir_for_tfhub.ipynb
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ProjetoFinal_(ApacheBeam_Oficial).ipynb
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Credit Card Fraud Detection.ipynb
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5_custom_gym_env.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: SageMath 9.2 # language: sage # name: sagemath # --- # + ###############################################...
Code_Builder.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # + [markdown] origin_pos=0 # # 实战Kaggle比赛:预测房价 # :label:`sec_kaggle_house` # # 之前几节我们学习了一些训练深度网络的基本工具和网络正则化的技术(如权重衰减、暂退法等)。 # 本节我们将通过Kaggle比赛...
d2l/pytorch/chapter_multilayer-perceptrons/kaggle-house-price.ipynb
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CondicionalSimples.ipynb
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medidas-tendencia-central.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="Jug0nljfnzPe" # # Cで整数を5バイトに押し込む簡単なお仕事 # - # ビッグデータを処理するよ...
CUint40.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 # --- # # King County Real Estate # ## Designing Data-Driven...
code/Final-Copy1.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 7 : This covers three types of inherita...
Exercises - Qasim/Python. Pandas, Viz/Questions/Exercise 7 (Single, Multiple, Multilevel Inheritance).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 # --- # + # -*- coding: utf-8 -*- """ Created on Tue Jun 5 ...
steadystate_Scripts/BORL_Figure_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 # --- # %matplotlib inline # # Group Sparse inverse covaria...
experiments/.ipynb_checkpoints/plot_multi_subject_connectome-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="QWlVMMX7avna" # ## Big O Notation & Algorithm Analysis # #...
AlgorithmAnalysis_Notes/BigOAlgorithmAnalysis_Notes.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 # --- # # Visualiser des principes de base de l'IRM # ## Que...
applications_cours2_principes_IRM.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: junction # language: python # name: junction # --- # + import os import json import re import pandas as ...
notebooks/Regression 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 # --- # # BERTCRFNER # # 可用的中文预训练参数:[`bert-base`](https://st...
examples/tutorial/BERTCRFNER.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 # --- # + # %pylab inline # %load_ext autoreload # %autorel...
notebooks/Cosmic_Rim_DM.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 import numpy as np from random...
009-cnn/MNIST in Tensorflow.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 # --- # ## Calculate the skill of a MJO Index as a function ...
docs/source/examples/subseasonal/weekly-subx-example.ipynb
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app/notebooks/document_figures.ipynb
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notebook/laliga_scraper.ipynb
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Courses/DeepLearning_2/translate.ipynb
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Detecting Playing Cards Using Amazon SageMaker Built-In Object Detection.ipynb
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section2/Lecture9_csv.ipynb
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notebooks/Acquisition_1.ipynb
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python_crash_course/seaborn_cheat_sheet_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 # --- # # Word Prediction # # In this notebook, we are going...
word_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 # language: python # name: python3 # --- from config import Config import utils import os impo...
testResults.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 # --- ''' **************************************************...
.ipynb_checkpoints/House Prices Advanced Regression Techniques-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 (ipykernel) # language: python # name: python3 # --- import numpy as np import matplotlib.pyplo...
Cautun_Agama-Test.ipynb
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02_01_nqueens.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 # --- # Iris plants dataset # -------------------- # # **Dat...
notebooks/Iris_dataset_2.ipynb
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Model/xgboost_pdp_ice.ipynb
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Day 7/Linear Regression/Linear Regression.ipynb
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LV_analysis/1_get_multiplier_LV_coverage.ipynb
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module4/s2_clustering.ipynb
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examples/NaCl_precipitation.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 # --- using LinearAlgebra, Plots...
lectures/Indefinite Integration.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 # --- # **SVM** # Resumo # # # + import pandas as pd impor...
notebooks/estudos_python/machine_learning/svm/classificacao_svm.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, let's add more features to see if that wi...
python_taiwan/logistic_regression/yang_wang/02_debug.ipynb
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creational/factory.ipynb
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Code/tn_cleaning.ipynb
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examples/example1.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 # --- # !pwd import pickle as pk import pandas as pd from sk...
TestResults_ 4_Categories_of_Restaurants.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R # language: R # name: ir # --- # # Tag 1. Kapitel 1. Grundlagen # # ## Lab 1. ...
1.1 R Basics/de-DE/.ipynb_checkpoints/1.1.10 R - Basics. Lab 1. - Solutions-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 # --- # + id="k5ZxDky2OZI4" #default_exp query # + id="tqmQkGtgOZJA" #export # mar...
query.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="yC6iWdubIxT2" # # Payment Matching # At Shopee, bank trans...
payment_ndsc.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 # --- # # Inverse Distance Weighting model vs Kriging - tuto...
docs/build/html/tutorials/Compare Kriging results to the IDW model (Basic).ipynb
# --- # title: "Random Forest Classifier" # author: "<NAME>" # date: 2017-12-20T11:53:49-07:00 # description: "Training a random forest classifier in scikit-learn." # type: technical_note # draft: false # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_...
docs/machine_learning/trees_and_forests/random_forest_classifier.ipynb
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PublicDatasets.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 # --- # + import os import pandas as pd import ...
History/Bokeh with Interact (still working on it)- Natasia Edit.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 # --- # # Computational Astrophysics # ## 02. Pyplot Visuali...
03._Visualization/presentation/02.pyplotExample02/pyplotExample02.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 # --- import numpy as np from scipy.special impo...
assignments/a5/Q1.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 print_function, division im...
resNet.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="1HyoZ4SjWtVh" import numpy as np import pandas as pd import matplotl...
eda.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 # --- # # Student Alcohol Consumption # ### Introdu...
04_Apply/Students_Alcohol_Consumption/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 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
math_calc_ordinarydiff.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 # --- # ## Application fields # + hide_input=true from fast...
docs_src/applications.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": "skip"} # <tab...
07_differentiation.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 # --- # # Example: Optimal adversaries for dense...
docs/notebooks/neuralnet/mnist_example_dense.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 # --- # # COVID-19 Charts # # Some charts and maps using COV...
notebooks/covid-19-charts.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 # --- # # Regression # # This exercise sheet covers the foll...
exercises/Exercise_06_Regression.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 # --- # As an introduction to tensorflow, let's use tensorfl...
session/session_5/tensorflow_example_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 # --- # # Introduction # There are several loads that act o...
notebooks/n05_kinetics.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 # --- # + import pandas as pd import numpy as np...
ee250/labML/examples/flags-knn/using_tensors.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 # --- import numpy as np import matplotlib.pyplo...
day4/02. Scipy - Special function-derivative-integral.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 # --- location = input("Please enter your delivery location?...
.ipynb_checkpoints/project_II-checkpoint.ipynb
# + [markdown] id="X4cRE8IbIrIV" # If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it. # + colab={"base_uri": "https://localhost:8080/", "height": 1000} id="MOsHUjgdIrIW" outputId="f84a093e-147f-470e-aad9-80fb51193c8e" # ...
examples/token_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 os import glob import numpy as np from shutil i...
notebooks/list-imagenet-contributors.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: dev # language: python # name: dev # --- import numpy as np from scipy.optimize import minimize from skl...
svm/LinearSVC.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.6.2 # language: julia # name: julia-1.6 # --- using GalacticOptim using Optim f(x, p) = -x[1]*x...
OptimizationTutorial/GalaticOptim.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 import war...
Merge_Python_and_R.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 # --- # # Github API v3 - Collect contributions # + import ...
Github API ipython v3.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 import matplo...
Software_Defect_JM1_Data/.ipynb_checkpoints/Untitled-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 # --- # + # %matplotlib inline import tensorflow as tf impo...
Demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.7 64-bit # name: python3 # --- # + # Importing libraries import pandas as pd from fuzzywuzzy impo...
book_rec.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 # --- # # [Django Q](https://django-q.readthedocs.io/en/late...
books/queue/django-q.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 PyPDF2 pdf = PyPDF2.PdfFileReader('data/src/pd...
notebook/pypdf2_metadata_get.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 # --- # # Modeling and Simulation in Python # # Chapter 8: P...
code/chap08-JLS.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 # --- # # Activity 4: Creating a TensorFlow Model using Kera...
Lesson-2/activity_4/Activity_4_Creating_a_TensorFlow_Model_Using_Keras.ipynb