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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 # --- # # Recommendations with IBM # # In this notebook, a n...
Recommendations_with_IBM.ipynb
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tutorials/W3D4_DeepLearning1/W3D4_Tutorial1.ipynb
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examples/Correlation.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 fro...
lab05/tree/plot_tree_regression_multioutput.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 5 - Handling Slow Tasks # # **GOAL:** The...
exercise05.ipynb
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ds/practice/daily_practice/20-05/20-05-05-ds_practice.ipynb
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3_Neural_Network/Tutorials/1_Neural_Network.ipynb
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py_scripts/P3_EDA.ipynb
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notebooks/Extreme_events_figs_20190109.ipynb
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notebooks/sampling/monte_carlo.ipynb
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how-to-use-azureml/work-with-data/dataprep/how-to-guides/summarize.ipynb
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_notebooks/2020-07-13-02-Validation-Basics.ipynb
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how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb
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04 Python Teil 2/02 Vergleichsoperatoren.ipynb
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notebooks/datasetExploration/rds-genmymodel.ipynb
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nbs/14a_callback.data.ipynb
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_notebooks/2020-11-04-pythonic-javascript.ipynb
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David_Stanley_data_challenge1b-logisticregression.ipynb
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Assignment4_NUISA.ipynb
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notebooks/problem_solved/problem_003_Largest_prime_factor.ipynb
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notebooks/computer_science/dask-overview/dask_associations.ipynb
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Simulations/kinetics/.ipynb_checkpoints/kinetics_symfit-checkpoint.ipynb
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final project/train.ipynb
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00_utils.ipynb
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jupyter_notebooks/solving/LWE-v2.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 # --- # # Mask R-CNN Demo # # A quick intro to using the pre...
damage_detection_video.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> # ## Research question/interests # # My re...
notebooks/analysis3.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 tensorfl...
customer_churn_prediction.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # XSAR simple example # # just open a dataset with [xsar.open_dataset](../basic_api.rst#xsar.open_dataset), and display denoised `sigma0` in...
docs/examples/xsar.ipynb
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lab1_A_sparse.ipynb
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Starbucks_Capstone_notebook.ipynb
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component-library/input/input-url.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="t3Nmb5isbvMF" colab_type="text" # # Solver de Markowitz # ...
notebooks/Programacion/4_Solver.ipynb
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Python/Pandas_Codeblocks.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 # --- # *Contenuti* # === # - [Liste](#Liste) # - [Dimen...
3. Liste, cicli e comprensioni.ipynb
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LSE.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 visual representation of named colors # # I loo...
assets/notebooks/A visual representation of named colors.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...
notebooks/ForHogg.ipynb
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HandWrittenDigitClassification.ipynb
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InteractiveTools/Report Visualizations.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 # --- # # Dynamic Programming # # In this notebook, you will...
dynamic-programming/Dynamic_Programming.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 # --- # # Integração Python e ArcGIS # # ### O que é? # # - ...
primeiros-passos.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="FYAZ2nct-C2l" # # 머신 러닝 교과서 3판 # +...
ch18/ch18.ipynb
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notebooks/AN_EDA.ipynb
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SalesDataAnalysis.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 # --- # + # Author: <NAME> # github.com/ernestorodg #######...
src/specific_models/unsw15/.ipynb_checkpoints/unsw_nb15_svm_notebook-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 # --- # # Leaflet cluster map of talk locations # # set fold...
talkmap.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.12 ('av2') # language: python # name: python3 # --- # # 3D Object Detection Evaluation Tutori...
tutorials/object_detection_evaluation.ipynb
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MTCNN/.ipynb_checkpoints/Face_Cropper_TestDataset-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 pandas as pd # # Predicting Median House Price...
results/california_housing_predict_report.nbconvert.ipynb
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Notebooks/Text-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 # --- # + # %matplotlib inline # %matplotlib notebook impor...
notebooks/Breast_Cancer_Wisconsin_(Diag).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] colab_type="text" id="yAq6aHVh5oCH" # *...
data/preprocess_data/CreateCompasDatasetFiles.ipynb
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01.getting-started/06.logging-api/06.logging-api.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 # --- # # Growth and the (optimal) ribosomal content of cell...
code/analysis/ribosomeallocation_steadystate(2).ipynb
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FakeNewsClassifierUsingPassiveAggrasiveClassifier.ipynb
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04_distributed.ipynb
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Epidemiology101.ipynb
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decision_tree2.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 # --- # # Basic Python # #### Variable asignment name_of_v...
projects/python/basicpython/Python_codes.ipynb
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.ipynb_checkpoints/pipeline_controller_04192019_test-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 matplotlib import matplotlib.pyplot as plt ...
scripts/Bin migrations.ipynb
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docs/source/tutorials/model_selection.ipynb
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src/Set_14.ipynb
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2017-12-15_CCMI_workshop/notebooks/2017-12-15_01_CCMI_GenePattern+Notebook+Introduction.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 # --- # In this tutorial we will show how to access and navi...
examples/compiler/03_iet-A.ipynb
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DS_141_Statistics_Probability_and_Inference.ipynb
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main.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.8 # language: python # name: python3 # --- # # Assignment 4 # # Welcome to Assignment 4. This w...
Data Engineering Foundations1.ipynb
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cmemsapi_functions.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="oFIozaUExVEL" # # Mount the drive &...
src/recommendation/UseCases.ipynb
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site/en-snapshot/federated/tutorials/custom_federated_algorithms_2.ipynb
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examples/Crab_lc_longterm.ipynb
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all_utilities.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 # --- # **Chapter 12 – Custom Models and Training with Tenso...
12_custom_models_and_training_with_tensorflow.ipynb
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archive/scripts/experiment_1/run_experiment_1.ipynb
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exp_5-square_removal.ipynb
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climate_starter.ipynb
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4.Python-Programming.ipynb
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tutorial/source/dirichlet_process_mixture.ipynb
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Day-5 Assignment.ipynb
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imbalanced_data_handling.ipynb
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tareaMagC++/Grafica.ipynb
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plots/paper_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 # --- # %matplotlib inline # # # Gromov-Wasserstein Barycen...
notebooks/plot_gromov_barycenter.ipynb
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data_model_analysis/mae_analysis.ipynb
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src/trec-dl-21-ltr/src/main/ipynb/create-run-files.ipynb
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notebook/objectDetection/.ipynb_checkpoints/Video-checkpoint.ipynb
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OOP_queue.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Generate EAP for Allen morphologies - morphology 2 # # Note: this notebook can be run only once. To generate a new simulation you have to ...
simulations/simulation_notebooks/simulate_cell_3.ipynb
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Code/.ipynb_checkpoints/20210811_FS_THE_WORKS_Normalize_occupancy_bins-checkpoint.ipynb
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Nasa2021/CNN_315.ipynb
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tensorflow/keras_gradcam.ipynb
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notebooks/035_exp.ipynb
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catboost/tutorials/tools/google_colaboratory_cpu_vs_gpu_regression_tutorial.ipynb
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yt-model.ipynb
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intro_to_statistics/Problem Set 2 - Probability.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 nodeps 0.6.2 # language: julia # name: julia-nodeps-0.6 # --- # load packa...
docs/Binomial_ASH.ipynb
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Hands-on lab/notebooks/00 Init.ipynb
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examples/SocketWorker Boston Housing Client.ipynb