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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 # --- # + import pandas as pd import numpy as np import matp...
day01/otto/models/sample_solution_otto_comp.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 over a magnetic dipole # # In this notebook, ...
Data_over_mag_dipole.ipynb
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Alexnet_test.ipynb
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scripts_nbs/bsb_designs.ipynb
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DataCiteAPI-DOIs-from-CSV-Using-DefinedSuffix-Public.ipynb
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examples/ContinuousWorld.ipynb
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SQL_Mini_Project_Moringa_School.ipynb
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SVM_RUL_Prediction.ipynb
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.ipynb_checkpoints/10_finetuning_torchvision_models_tutorial-checkpoint.ipynb
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Old_Codes_For_Exploration/ModelAnalysis/VGG/VGG16_mask10_class1.ipynb
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notebooks/study_relevant_companies/notebooks/Classification_ModelingAPI.ipynb
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Tutorial.ipynb
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_notebooks/2021-01-01-Vector-Fields.ipynb
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revisions/03b_overlap_cluster-tx_pwenrich_tx.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 # --- # Taller Presencial --- Manejo de datos con Pandas # =...
notebooks/ciencia_de_los_datos/taller_presencial-pandas.ipynb
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LAB-9/058_09.ipynb
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notebooks/frontend_ques_dataset_preprocessing.ipynb
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preprocessing_subjects/Andrea.ipynb
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data/FinalReport.ipynb
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xray2.ipynb
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day5.ipynb
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notebooks/Middleware.ipynb
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tests/downsample.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 # --- # # Ch `11`: Concept `02` # # ## Embedding Lookup # I...
ch11_seq2seq/Concept02_embedding_lookup.ipynb
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.ipynb_checkpoints/article_grabber-checkpoint.ipynb
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M1 Python For Data Science/Week_3_Python_For_Data_Science_Data_Visulization_With_Python/PDS_UberDriveProject_Question.ipynb
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examples/mnist_tensorflow.ipynb
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Demos/MousePicking.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 IPython.core.display import HTML import d3_lib H...
Untitled1.ipynb
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Notebooks/pytorch-qiskit-0.1-Ry-AQGD.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 # --- # # HR Analytics # ## Dataset Description : # # 1. e...
HR_Analytics_Ritwik.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 numpy import array, eye, random, arange, sqrt...
Example 5.2.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 sys os.environ["PYSPARK_PYTHON"] = "/...
Course_4-Big_Data_Processing_using_Apache_Spark/Module_2-Spark_Structured_APIs/1-Introduction_to_Structured_APIs/Dataframes_GroupBy_Aggregates/dataframes_groupby_aggregates.ipynb
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nim.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 # --- # # Example usage # # To use `pycounts`: # # ## Import...
docs/example.ipynb
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11. Chapter_/modules and packages.ipynb
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Price Comparisons.ipynb
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tutorials/ost_powermodels.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 1.0.0 # language: julia # name: julia-1.0 # --- using Distributions using ...
sims/publish/investigate_low_ARI.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 1.5.1 # language: julia # name: julia-1.5 # --- using AvailablePotentialEn...
plots_notebooks/HomoAll_RossbyRadius.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 # --- # # Milestone Project 2 - Blackjack Game # In this mil...
Complete-Python-3-Bootcamp-master/08-Milestone Project - 2/01-Milestone Project 2 - Assignment.ipynb
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notebooks/samples/ConditionalKNN - Exploring Art Across Cultures.ipynb
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src/train_model.ipynb
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qcd_classification/layerwise_drc.ipynb
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nbs/20_image_classification_user_story.ipynb
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plot_original_word_alignments.ipynb
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11_external_files.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 # --- # # Scikit-Learn Classification # # - Pandas Documenta...
day_1/Lab_05_ML_Scikit_Learn_Classification.ipynb
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src/locus.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 # --- # + from scipy.special import sph_harm imp...
spherical_harmonics/mesh_spherical_harmonics.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 # --- # ![Callysto.ca Banner](https://github.com/callysto/cu...
_build/html/_sources/curriculum-notebooks/Health/CALM/CALM-moving-out-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 # name: python3 # --- # + [markdown] colab_type="text" id="W_tvPdyfA-BL" # ##### Copyright 2018 The...
site/ko/tutorials/images/transfer_learning_with_hub.ipynb
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000_0010_EDA.ipynb
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Fusion-EKF-Sample-Visualization-4-B.ipynb
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pegasus-code.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 # --- # %run ../../../main.py # %matplotlib inline # + impo...
notebooks/qcba_extension/benchmarks/.ipynb_checkpoints/qcba_speed_benchmark_datacase_count-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 # --- # nuclio: ignore import nuclio # %nuclio config kind ...
load_dataset/load_dataset.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 # --- # # Load dataset # + deletable=true editable=true imp...
notebooks/Directed_networks.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 # --- # # Параллельное программирование # # <NAME> https://w...
lesson-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 # --- # # Lecture-02 Snell's Law # * author : <NAME> # * Dat...
Lecture-02 Snell's Law.ipynb
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13-Advanced Python Modules/04-Timing your code - timeit.ipynb
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Clase 3 - Bucles.ipynb
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pre.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 # --- # # Self-Driving Car Engineer Nanodegree # # ## Deep L...
Traffic_Sign_Classifier LeNet-97val.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 bokeh import re import requests import subproce...
.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 3 # name: python3 # --- # + [markdown] id="Tx35TmvXASDM" # # #Olá! # # Seja bem-vinda ou bem-vindo ...
Aulas/Aula_01.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 # --- # # Benchmarking doubelt detection methods with Demuxl...
examples/demuxlet_data_celltype.ipynb
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notebooks/08-third-week-part-three.ipynb
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HeroesOfPymoli/HeroesOfPymoli_starter.ipynb
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projects/ComputerVision/em_synapses.ipynb
# Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...
tpu/templates/tpu_rewrite/trainer.ipynb
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notebooks/tensors.ipynb
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lr_for_the_masses/rr_mlm/notebook test_mlm.ipynb
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9-classification-scikitlearn.ipynb
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RSI_Momentum_strategy.ipynb
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tutorials/Appendix C Circuit examples/E. Input-output-coupling/41-LaunchPad.ipynb
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docs_src/vision.learner.ipynb
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notebooks/DLTFpT-notebooks/shallow_net_in_pytorch.ipynb
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update need for adtimizer.ipynb
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Assignments/System Thinking & Modeling/HW1/Simulation Code for HW1.ipynb
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Nodes_for_the_real_data_experiments.ipynb
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orbit_hello.ipynb
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matrix_two/day4_xgboost.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 # --- # ## Using RNN to predict Bit Coin Currency # # Edited...
DL/BTC_RNN.ipynb
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12.gradient-smoothing/gradient-smoothing.ipynb
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notebooks/Project_CodeNet_LangClass.ipynb
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Working with DataFrames.ipynb
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Session 3/Session_3_GTD_Structured Data.ipynb
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Scraping Multimedia Files using Beautiful Soup.ipynb
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naive_bayes.ipynb
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examples/3D/2_training.ipynb
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chapter07_distributed-learning/multiple-gpus-scratch.ipynb
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how_to_use.ipynb
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examples/example1 (coarse-graining ZIF-8).ipynb
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notebooks/pga.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Some basic concepts # # # * SQL to save jobs # * log output in a home dir # * Python native # # Classes: Task # #
playground.ipynb
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tensorflow/day4/practice/P_04_07_dog_cat_binary_classification.ipynb
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experiments/train_age_9_class_random.ipynb
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doc/source/tune/examples/tune-sklearn.ipynb
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PyCitySchool2.ipynb