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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] id="view-in-github" colab_type="text" #...
docs/imaging/mosaic_image_example.ipynb
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faceFocusBot.ipynb
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pill7 - introduction to overfitting_student/pill7 - introduction to overfitting_student.ipynb
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notebooks/evalSection/vET-Hakai-paperFig-TS.ipynb
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examples/od_prophet_weather.ipynb
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TensorFlow-with-dynamic-scaling/tensorflow/lite/g3doc/performance/post_training_integer_quant.ipynb
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Fig5.ipynb
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notebooks/Finne, se og lagre data på Dapla/Få oversikt over innhold i dataframes med Python og PySpark.ipynb
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00 Leer dataset.ipynb
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examples/Visualize_English_Hebrew.ipynb
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projects/causal moneyball/Causal-analysis-on-football-transfer-prices/Pre-processing notebooks/transfer_price_ categorization.ipynb
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Cap03/Notebooks/DSA-Python-Cap03-Exercicios-Loops-Condiconais.ipynb
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ATMS_207_Week_5_HW.ipynb
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notebook3540fc5853.ipynb
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docs/notebooks/Feed-Forward-Neural-Networks.ipynb
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Cifar10/CIFAR10_Gaussian/CIFAR_10_Gaussian_Filter_Histogram_of_Frequency_Filter.ipynb
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assets/notebooks/ODE_Methods_Clean.ipynb
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notebooks/0.6.0-distance-classification-to-the-emp.ipynb
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notebook/.ipynb_checkpoints/StoltzaAndMacnae1998_simple_impulse-checkpoint.ipynb
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Modulo1/Clase4Douglas.ipynb
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aws/sam/mads-simulate-app/swap_simulation/simulate_notebook_nm.ipynb
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scripts/oligomet_intervention_plotting.ipynb
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tutorials/layout.ipynb
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_notebooks/2021-07-10-Lesson5-pet_breeds.ipynb
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Introduction_to_Google_Colab.ipynb
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notebooks/2-Create-pipelines.ipynb
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tutorials/W3D4_DeepLearning1/student/W3D4_Tutorial3.ipynb
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Notebooks/plot_performance.ipynb
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notebooks/2_cnn.ipynb
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digraph/App.ipynb
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notebooks/Luhman2012.ipynb
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google_colab.ipynb
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notebooks/2.0-jmk-rerun_selenium_script_for_remaining_fbw.ipynb
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notebooks/monitoring_analysis.ipynb
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Read PDU data Codes/Saman_PDU_Raw_Reading_Data_04_NDVI_150x150.ipynb
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20181009_9_kaggle_salt.ipynb
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Spring2019/03_Programming_Style/Functions and Software Development Workflow.ipynb
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OpenCV_Webcam_Face_Detection.ipynb
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python/3 - Plotting.ipynb
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Code/.ipynb_checkpoints/20200326_THE_WORKS_FS_Beacon_over_time. -checkpoint.ipynb
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MarianVinasCopy_of_LS_DS_224_assignment.ipynb
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notebooks/utility_functions.ipynb
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Demos/Ch1_Extra_Conditioning.ipynb
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Chapter 6- Random Number Generation/Estimating the area x^2-x+1.ipynb
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mel.ipynb
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src/4 Understanding the decoupled transcriptomes.ipynb
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cours/reg_log_stid/TP/corrections/td2_reglog_2020.ipynb
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2018-spring/seminars/DL18_seminar3_models/DL18_seminar3.ipynb
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tests/Extract info.ipynb
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7.24.ipynb
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15 Textanalyse Vertiefung Teil 1/1.2 Descriptives.ipynb
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WB-API/WB-API.ipynb
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Notebooks/03_Functions.ipynb
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ApurvaNikade_Python.ipynb
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jupyter_notebooks/machine_learning/Scatter_Matrix_Example.ipynb
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VehicleDetection.ipynb
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skin-cancer-detector-VGG16-Transfer-Style.ipynb
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notebooks/babel/integrations/UnsecretAgent/Unsecret_Agent.ipynb
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SEP-Tutorial-Astropy.ipynb
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3_prg/4_py/84_dat/pan07idx.ipynb
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IPYNB/03. Plot_comparison_results_Apr.ipynb
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Assingments/module05/students/module6_ir/practices/Practice_06.01_Classification.ipynb
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XLSR_Wav2Vec2_for_Indonesian_Fine_Tuning.ipynb
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Standard_Libraries/Standard_Libraries.ipynb
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.ipynb_checkpoints/Bank Marketing Benchmark-checkpoint.ipynb
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validation/comparisons/comparison_clusters/GALAH_DR3_Comparison_Clusters.ipynb
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Numpy.ipynb
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Clase1.ipynb
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notebook/plot-free-energy-vs-time-hvm-single-run.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 json file...
zomato_hist.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 pandas as pd dat...
w2/w2-Day_2/Pandas_filtering.ipynb
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04. Visualize.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_ext autotime # + import pandas as pd import o...
notebooks/dowload_phedex_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 (ipykernel) # language: python # name: python3 # --- # *Das [LGLN] stellt zahlreiche offene Geo...
Sentinel-2.ipynb
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hw02/main.ipynb
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SEIRD_covid_model.ipynb
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Additional (older) notebooks/2021-03-12_Template_For_Test_Acc_version_Philipp_analysed.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 # --- # # Reconciliating a Categorical Field # through an O...
experiments/reconciliation.ipynb
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codebase/Speech2Text/SpeechToText-2.ipynb
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exercises/1-NumpyIntroExercise.ipynb
-- --- -- jupyter: -- jupytext: -- text_representation: -- extension: .hs -- format_name: light -- format_version: '1.5' -- jupytext_version: 1.14.4 -- kernelspec: -- display_name: Haskell -- language: haskell -- name: haskell -- --- -- --------------------------------------...
revisiting-monadic-parsing-haskell/RevisitingMonadicParsingHaskell.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 // --- // ## Path relat...
recommend-by-spark-als/notebook/ML_with_Spark-spark-1.6-scala-2.10.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 # --- # # Estimating the effect of a Member Rewards program ...
docs/source/example_notebooks/dowhy_example_effect_of_memberrewards_program.ipynb
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notebooks/Gradient_Graph_Computation.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="6NZxp-tBaPmw" # # Purpose # The pur...
inst/model_development/notebooks/.ipynb_checkpoints/entity_extraction_three_variables-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 # --- import numpy as np import cv2 from sklearn import data...
added/logistic_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 # --- # # NFL Data EDA # ___ # The objectives of this notebo...
4-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 # language: python # name: python3 # --- # %matplotlib inline # # # Concatenating multiple fea...
01 Machine Learning/scikit_examples_jupyter/compose/plot_feature_union.ipynb
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inferencia_causal/trabalho_final/painel_partidos.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 # --- # # Non-Linear SVM - Email Spam Classifier # # # In th...
8. Machine Learning-2/3. Support Vector Machines/3. Kernels/.ipynb_checkpoints/Non-Linear+SVM+----+Email+Spam+Classifier-checkpoint.ipynb
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examples/01-filter/flying_edges.ipynb
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1. Preprocessing/1. IntAct yeast.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 # --- # # This notebook serves as the validation...
benchmarks_tests/Performance_Loss_Functions_GPU.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: xpython # language: python # name: xpython # --- # + from ipywidgets import Dropdown, Label, HBox dropd...
2020-01-09-PyData-Heidelberg/examples/debugger.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 I import necessary modules. I will use netwo...
Optimal Path Finder Using Reinforcement Learning.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 # --- # # Credible Threats - Life of Py(thon) # By The Good,...
Credible Threats/dataproject/Monty Python.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 graphlab products = graphlab.SFrame.read_csv('...
amazon_reviews.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 csv_link = "htt...
jupyter/data.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 # --- # # Spam Analysis # This notebook will contain the co...
preprocessor/Phase [1.a.3] Spam 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 # --- # # Feature-Extraction # ## Theoretische Grundlagen, M...
Feature_Extraction__Demo.ipynb