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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] papermill={} tags=[] # <img width="10%"...
Hugging Face/Hugging_Face_Naas_drivers_integration.ipynb
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src/cypher_script.ipynb
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code/08-Spark-JSL.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 example, exact analytical trajectory of a ...
examples/single_particle_in_electric_field/single_particle_in_uniform_electric_field.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 # --- # **Linear** Classifier # # 1 SVM Classifier # ## 1.1...
assignment1/LinearClassifer.ipynb
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tutorials/Advanced_tutorial.ipynb
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Spacy-Test.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 glob import os import matpl...
tti/notebooks/plots/plots.ipynb
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solutions/S0013.ipynb
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examples/DCMM Latent Factor Example.ipynb
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notebooks/tabular_examples/model_agnostic/Census income classification with scikit-learn.ipynb
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Daphnia_Class.ipynb
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Samsung S9/.ipynb_checkpoints/Positive_WordCloud_Code-checkpoint.ipynb
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programs/diffanalysis.ipynb
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reference/Module-02c-reference.ipynb
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notebooks/plot_ipm_profiling.ipynb
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mlrose_notebook/mlrose_notebook.ipynb
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pyei/intro_notebooks/Plotting_with_PyEI.ipynb
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examples/bidaf/flask server/Untitled.ipynb
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code/dipping/plot_solutions.ipynb
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keras-tutorials/1. MLP/1-Basics-of-MLP.ipynb
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Cardiovascular inference.ipynb
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Basic_Lane_Detection.ipynb
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08_inhouse_rscript.ipynb
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My_Try_Stream v4.1.ipynb
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Exercise November, 4th 2019.ipynb
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Lesson01/Activity02/activity02-solution.ipynb
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Statistical Modelling/3. Regression/R Codes/SM Cow Dataset Linear Regression R.ipynb
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NEU_ADS_Student_Project_Portfolio_Examples/Object Detection using TensorFlow/Project/Portfolio.ipynb
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pytorch/chapter_recurrent-neural-networks/text-preprocessing.ipynb
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.ipynb_checkpoints/L01-NumPy_Part1-Lesson-checkpoint.ipynb
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Test Notebook.ipynb
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Imersao_dados.ipynb
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Term 7/Methods of decision support/Lab 3/Task 3.ipynb
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14/The_need_for_speed.ipynb
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arrays_strings/rotation/rotation_challenge.ipynb
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0d-Exercises_Python_MNE.ipynb
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parkinson.ipynb
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clases y trabajos/3 class.ipynb
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Aircondition_MRO/HNA_Survival_Analysis/10-HNA-Stephen-398908-3.ipynb
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src/examples/tutorial/jupyter_extract/notebooks/ascent_jupyter_histogram_example.ipynb
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examples/titanic/0 baseline-Copy1.ipynb
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lib/.ipynb_checkpoints/HbEZ-checkpoint.ipynb
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09_2/Lab09_l181139.ipynb
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aws_lambda/aws lambda/model.ipynb
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boiler/unity_headless_backtest.ipynb
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GenMod2.0/General_Simulation_Model_3_Calibrate_Model_Bayes.ipynb
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skeletons/svr-skel.ipynb
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trees/lightgbm.ipynb
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Notebooks/DeepLearning/4. DL. Keras Imdb.ipynb
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Assignment_03 Solve a Linear Algebra Problem --Scipy.ipynb
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EvoMusicCompanion/jupyter/operator-tests.ipynb
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notebooks/IA/MLP_Iris.ipynb
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Introduction to Portfolio Construction and Analysis with Python/W2/Efficient Frontier.ipynb
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examples/notebooks/core/model_modelFromBioModels.ipynb
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preprocessing/create_RGBD_dataset.ipynb
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LaBSE/addUNKtokens/addUNKtokens.ipynb
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recomendation-systems/pre-processing.ipynb
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test_colab/Style_transfer-micro-astro.ipynb
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docs/examples/old_examples/gas_pvt.ipynb
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RecommenderSys+Anomaly/exercise8.ipynb
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web_scraping/Web_Scraping_HondaWeb_lxml.ipynb
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2017_03_Brussels/0b-Intro_Numpy.ipynb
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src/pyopencl/SqueezeNet.ipynb
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Writeup.ipynb
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structural_geology/plate_tectonics.ipynb
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docs/io/zeta.ipynb
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Trading_Strategies/ETF/Adaptive Asset Allocation.ipynb
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surprise/source_code/IntroToPython/Python101.ipynb
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case_studies/swan_coastal_plain/scp_vis.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 matp...
assets/ipynb/5334-main-project.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 # --- # # Ray Serve - Model Serving Challenges # # © 2019-20...
ray-serve/01-Model-Serving-Challenges.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 # # Linestyles # ========== # # ...
_downloads/plot_linestyles.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 1.4.0 # language: julia # name: julia-1.4 # --- include("../src/Qaintessen...
examples/view_example.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 from scipy.optimize import minimize...
Unit_03/Sample.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 simple toy example for robustness curve separati...
experiments/rob_curves_separation_toy_example.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 # --- # + # Imports # %matplotlib nbagg # # %matplotlib osx...
headwall_hyper_processing.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="dUeKVCYTbcyT" # #### Copyright 2019 The TensorFlow Authors...
site/en/tutorials/structured_data/imbalanced_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 # --- # # Simulate exoplanet yield from TESS # The purpose ...
code/SimTessYield.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="dhN2myCLZSKY" # # Instalación e Importación librerías Spar...
06-big-data/practices/pra03/03_Spark_Standalone_en_Google_Colab_022021_SparkML.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 # --- # Yesterdays, we learn about operators which are mostl...
Day3 control_flow & loops/control_flow & loops.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 # --- # ## DepthwiseConv2D from matplotlib import pyplot as...
Graph_generator/graph_generator_v2/graphs_depthwiseConv2d-compare.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: gantutorial # language: python # name: gantutorial # --- # # Building and training your first Network wi...
notebooks/part-03-GANs-with-pytorch/00-firstGAN.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 csv import numpy as np import pandas as pd impo...
src/Preprocessing.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 import niba...
BSUnetTrainForLiver.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 # --- # # NumPy # # NumPy (or Numpy) is a Linear Algebra Li...
01-Arrays.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 po...
numpy/Visualize Array.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 y = np.array([1 , 2 , 3, 4]) y pr...
NUMPY/numpy_practice.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 # --- # Highmaps Demos # =============== # Drilldown: http:/...
examples/ipynb/highmaps/map-drilldown.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 splinter import Browser from bs4 import Beautiful...
Mission_to_Mars/mission_to_mars.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 # --- # # IMDB Movie Reviews Sentiment Analysis using Pretra...
Deep_Learning/IMDB_Movie_Reviews_Sentiment_Analysis/3_IMDB_Movie_Review_Sentiment_Analysis_using_Pretrained_Embeddings.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 # --- # <img src="https://raw.githubusercontent.com/Qiskit/q...
awards/teach_me_quantum_2018/TeachMeQ/Week_6-Quantum_Search/exercises/w6_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 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Untitled0.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 # --- # ## Observations and Insights # # ## Dependencies a...
Pymaceuticals/.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 # --- # ## What's SQL? # # SQL (Structured query language): ...
machine-learning/coursera/sql-for-data-science/course01.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python Intel Pytorch # language: python # name: pytorch # --- # !pip install pandas import pandas as pd...
model/thyroidemb/Untitled.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 astropy.coordinates as coord im...
notebooks/adrian_code.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: PySpark # language: '' # name: pysparkkernel # --- spark df = sqlContext.read.csv('s3a://linear-regress...
lab-solution2.ipynb
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01. Introduction to Jupyter Notebooks and Data - Python.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 qrcode from PIL import Image img_bg = Image.op...
notebook/qrcode_image_paste.ipynb