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// --- // jupyter: // jupytext: // text_representation: // extension: .scala // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Scala 2.12.11 // language: scala // name: scala // --- // # The Apache Spark Scala API // ...
build/workspace/scala.ipynb
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notebooks/archive/Gffutils-S_cerevisiae.ipynb
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anova_age_lib.ipynb
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talks/uc2017/ArcGIS Python API for Administrators and Content Publishers/admin_walkthrough.ipynb
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Extraction and Verification.ipynb
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notebooks/02 Computation Graphs.ipynb
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Twitter Scraping Test.ipynb
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Housing.ipynb
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samples/core/get_started/basic_regression.ipynb
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notebooks/.ipynb_checkpoints/Convert_to_ONNX-checkpoint.ipynb
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hw12/hw12_domain_adaptation.ipynb
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code/chapter07_optimization/7.6_rmsprop.ipynb
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experiments/fairseq_wmt19.ipynb
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pae/forcast/src/.ipynb_checkpoints/compare_trainingData-checkpoint.ipynb
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P4-Behavioral-Cloning/2. Train Model.ipynb
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hand_gesture.ipynb
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arquivos/02_salarios_CLT_Terceirizado_simplificado_Funil.ipynb
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Assignments/03 CNN for Image Recognition/03-00 Using CNN to Classify Roadmarking.ipynb
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matplotlib/gallery_jupyter/text_labels_and_annotations/multiline.ipynb
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python/python3_cookbook/1_data_structure.ipynb
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lectures/00-introduction.ipynb
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notebooks/pandas2b.ipynb
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07 Varying T0.ipynb
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Seaborn - Bar Plot & Count Plot.ipynb
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2019/03/solution.ipynb
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docs/tutorials/3 - Advanced - Explore Repair and Reuse.ipynb
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demos/floc_simulation5/sim3_analysis.ipynb
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day18/snailMath.ipynb
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.ipynb_checkpoints/QLearning_OpenAI_Gym-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 import numpy as np import itertool...
python/Ensemble-Face-Recognition.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 # --- # # Explorando NASA JPL Asteroid Dataset # Dataset d...
MachineLearning/Asteroids/Exploring_asteroids.ipynb
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metrics/graphs/compute_graphics.ipynb
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CAPTCHA Recognition/Captcha Recognition.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 # --- # ## 目的 # 年、月ごとに集計する # # ### ポイント # 値がない年や月は0で埋める # #...
notebooks/year_month_report/year_month_report.ipynb
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05-project-kojack/.ipynb_checkpoints/Final_Notebook-checkpoint.ipynb
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notebooks/06_clustering_proteins.ipynb
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lessons/01_phugoid/01_04_phugoid_model.ipynb
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notebooks/lectures/2.0-environment.ipynb
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regularized_neural_net.ipynb
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scripts/general/k-means-breastcancer_prediction.ipynb
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notebooks/Keras softmax pooling.ipynb
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Webscraping/Amazon/Amazon_WebScraping.ipynb
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notebooks/Figure-14-nudging-tendencies-physics-dynamics-components.ipynb
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Week2/XRD data curation Demo/.ipynb_checkpoints/XRD_dimensionlity_demo-checkpoint.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 # --- # + # %matplotlib inline import numpy as np i...
sns/seaborn_tutorial2.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 # --- # ## Week 3 Jupyter Notebooks # ## Introduction # ##...
Lecture notes and demos/3jupyter-notebooks.ipynb
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code/ECG_low pass_test.ipynb
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Fourier-Series-of-Curves-Example-2-Arcs.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Initialize paths # %cd .. from pathlib import Path Path('data').mkdir(exist_ok=True) Path('docs').mkdir(exist_ok=True) Path('site').mkdir...
nbs/__init__.ipynb
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examples/colab/component_examples/classifiers/cyberbullying_cassification_for_racism_and_sexism.ipynb
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run_local/17_intro.ipynb
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DB02/INFO project.ipynb
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.ipynb_checkpoints/01 - pandas-checkpoint.ipynb
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Notebook/Restaurant_FINAL.ipynb
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Atair Project Work.ipynb
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BART Project.ipynb
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Chapter01 - 1.11~1.20.ipynb
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notebooks/Image Stretch Grid.ipynb
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DeepRL_For_HPE/Older_VGG16Runner_Notebooks/.ipynb_checkpoints/VGG16Runner_v2-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 # --- # # Online word2vec tutorial # # So far, word2vec cann...
gensim/docs/notebooks/online_w2v_tutorial.ipynb
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fine_tuning_unbiased.ipynb
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actual_brexit_notebook.ipynb
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Preprocessing/Old/Addressing-Overinflation.ipynb
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LatKarlstadLeva.ipynb
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05-11-top5-vis.ipynb
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data-stories/happiness/internet-use.ipynb
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docs/_downloads/3dbbd6931d76adb0dc37d4e88b328852/tensor_tutorial.ipynb
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notebooks/02_Real_world_examples/Contour_extraction.ipynb
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examples/fastai2_course-v4_07_sizing_tta_distrib.ipynb
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app/notebooks/trailer_mining_action_shots.ipynb
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udacity_ml/DecisionTree/decision_trees.ipynb
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data_process.ipynb
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qiskit/start_here.ipynb
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house-affordability-monte-carlo-simulation.ipynb
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notebooks/gwishart-inference/EB_infer_network_julia.ipynb
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FeatureExtractor/Hackathon.ipynb
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tfm-milan/Comp5570-10min-36-0-6.ipynb
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Software Model - Python/hdc_top_d4000.ipynb
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guide/01-getting-started/install-and-set-up.ipynb
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notebooks/ensemble_ex_03.ipynb
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1stMonth{ImageManipulation}/Notebook/Computer_Vision.ipynb
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examples/ex4-UK-with-april-initial-conditions/ex4-UK-with-april-initial-conditions.ipynb
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Rough and smooth patches.ipynb
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examples/models/sklearn_iris_customdata/sklearn_iris_customdata.ipynb
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Ex2 - Centrol-hole tension/CH_tension_Purely_data_driven_Disp_and_Disp.ipynb
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aux/model-playground/notebooks/kmer-top-corr.ipynb
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course/class1/pca/examples/00 - PCA on 2 dimensions.ipynb
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Chapter03/Code/3-3.Schema Inference.ipynb
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scripts/matplotlib_example.ipynb
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examples/numo-gnuplot.ipynb
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notebooks/umi_len.ipynb
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run.ipynb
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notebooks/Reading TXPipe Outputs.ipynb
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cvicenia/tyzden-05/IAU_051_EDA_stats.ipynb
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notebooks/COVID-19 Preprocessing.ipynb
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notebooks/Natural Gas Price Prediction -IBM.ipynb
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notebooks/2b_model_building.ipynb
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notebooks/12_produccion.ipynb
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Iris data Clustering/Task #2.ipynb
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notebooks/00-initial-exploratory-analysis-mama.ipynb