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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 # --- # 0. Create a Model with division, death, and volume ...
lineage examples/OLD BROKEN Lineage Examples.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 # --- # # _*Max-Cut and Traveling Salesman Problem*_ # ## ...
docs/tutorials/06_examples_max_cut_and_tsp.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 time import numpy as np import pandas as pd fro...
torch/visualizing_data.ipynb
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K-Nearest-Neighbours Classification & Regression/KNN Implementation.ipynb
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binding_energy_compare.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 # --- # Hi! This is a pytorch classification example built w...
Week1/ML_BjetSelection_pytorch_RasmusFO.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 # --- # ## Proba-V Time-Series Analysis # **Author:** <NAME>...
005_EE_Proba-V_NDVI_Time-Series_Analysis.ipynb
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ppo/.ipynb_checkpoints/bipedal_ppo-checkpoint.ipynb
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examples/GraphExplorer.ipynb
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LDA.ipynb
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create_archive.ipynb
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src/notebooks/relations_re/prepare_re_dataset.ipynb
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.ipynb_checkpoints/Pandas Recipes 2.0 Essential DataFrame Operations-checkpoint.ipynb
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notebooks/5.1-mjt-audio-waveforms.ipynb
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Sommar_data_volumes.ipynb
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Sodabot.ipynb
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ch19/Listing 19.11 - 19.20.ipynb
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notebook/Plot_SpinUp_results.ipynb
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day7Assignment.ipynb
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ipython_files_data_writing.ipynb
1 + 1 import pandas as pd pd.Series({'A':5, 'B':2}).plot() # %matplotlib inline pd.Series({'A':5, 'B':2}).plot(figsize=(3,2)) # + language="html" # <p><a href="https://github.com/mwouts/jupytext", style="color: rgb(0,0,255)">Jupytext</a> on GitHub</p> # - # %load_ext rpy2.ipython # + magic_args="-w 400 -h 200" lan...
tests/notebooks/mirror/script_to_ipynb/hydrogen_latex_html_R_magics.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 # --- # # splot.pysal.lib: assessing neighbors & spatial wei...
notebooks/viz/splot/libpysal_non_planar_joins_viz.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 # --- # ### Project 1 # In this project our goal is to vali...
dd_1/Part 3/Section 06 - Project 1/01 - Project 1.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 # --- # ### Computing for Mathematics - 2021/2022 individual...
assets/assessment/2021-2022/ind/assignment.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 torch import torch.nn.functional as F from...
Captum.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 # --- # ## Simple Neural Network # # This is rooted from "[M...
T1_4_simple_nn.ipynb
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ud170/Lesson 1 - Data Analysis.ipynb
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Chapter 10/WGAN_mnist_generator_critic_no_clipping.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (fastai2) # language: python # name: fastai2 # --- # ## Image网 Submission `128x128` # This conta...
01_InpaintingImageWang/03_ImageWang_Leadboard_128.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .java // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Java // language: java // name: java // --- // ## Loading Libraries // // Let's import all t...
chapter5-heap.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 # --- # # Summary # # Use [`python-fitbit`](http://python-fi...
notebooks/sbussmann_get-fitbit-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 # language: python # name: python3 # --- # %run ./setup_jupyter.ipynb df = spark.read.json("hdf...
jupyter-spark/work/Spark Word Count.ipynb
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programming/python/Flask/social blog project _ deployment _ accepting payments Stripe _.ipynb
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CycleGAN.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 # --- # # 爬取今天到目前為止的所有文章 # # https://www.ptt.cc/bbs/Gossipin...
appendix_ptt/02_today_articles.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Unit4-NLP (Python3) # language: python # name: unit4-nlp # --- # Lambda School Data Science # # *Unit 4,...
module3-document-classification/Raw_Assignment_LSDS413.ipynb
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01_TF_regression/01_NN_regression_with_TF.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 requests import io import pandas as pd import j...
trainer_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 # --- # # 10 minutes to CLX # # This is a short introduction...
docs/source/10min-clx.ipynb
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python_intro.ipynb
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Graph2.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 # ma...
code/GradientDescentDemo.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 # --- # # Day 9 Assignment # # Q1- Write a python function ...
B7 Day 9.ipynb
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Gender 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 # --- # ## This Notebook - Goals - FOR EDINA # # **What?:**...
GeneralExemplars/GeoExemplars/Kepler_Notebook.ipynb
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regression_analysis_verification/3_performance.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 autoreload # %autoreload 2 # + # %%captur...
train.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: SageMath 9.0 # language: sage # name: sagemath # --- # # Lesson 3 - Euler McLaurin and Bernoulli numbers...
Lesson3-EulerMcLaurin1.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 pathlib import Path arr = [] for r in Path('/mnt...
notebooks/04_first_exp/1_Results.ipynb
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notebooks/Testing Lorentz Gas.ipynb
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DAP_lab2/DAP_Lab2.ipynb
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spark-training/spark-python/jupyter-advanced/08 - Repartitioning - Skeleton.ipynb
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docs/source/guide/ipynb/paramsweep.ipynb
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notebooks/model_gen.ipynb
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ResNet_CNN_Keras.ipynb
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sagemaker-spark/pyspark_mnist/pyspark_mnist_pca_kmeans.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 # --- # # Pycle demo 1: efficient sketch tuning for GMM fitt...
Demo_1-sketchTuning_GMM.ipynb
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Traffic_Sign_Classifier.ipynb
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models/clustering/data_setup.ipynb
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Go Fish.ipynb
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Python/Pitfalls/mutable_vs_immutable.ipynb
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results_analysis/merge_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 # language: python # name: python3 # --- # # [Learn Quantum Computing with Python and Q#](https...
ch09/ch09-exercise-solutions.ipynb
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tensorflow_probability/examples/jupyter_notebooks/TensorFlow_Probability_on_JAX.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 Engineering: Transformations # ### Read i...
nlp/Ex_Files_NLP_Python_ML_EssT/Exercise Files/Ch04/04_04/Start/04_04.ipynb
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PandasTutorial.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 # --- # # Homework 3: Feature Engineering, KNN, and Decision...
homework/hw3/EC414_HW3.ipynb
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ProD_Notebook.ipynb
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Beta Calculation/.ipynb_checkpoints/Bayesian Beta Computation-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 # --- # # Модульное тестирование и Test-Driven Development #...
1/1.3.4_tdd.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 # --- # ### Section 1: Business Understanding # AirBnB is a...
project_1.ipynb
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ssd7_evaluation_Category.ipynb
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Examples/ToyModels/NLP/NLP_Toy_Train.ipynb
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Machine Learning & Data Science Masterclass - JP/02-Numpy/01-NumPy-Indexing-and-Selection.ipynb
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exercises/money_and_death.ipynb
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Analise_Dados_Ufes_070721.ipynb
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model&data/data_prep.ipynb
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unsupervised-learning/week1/banners_task.ipynb
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workspace/06_simple-recommender-grouped-data.ipynb
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Part 4 - Clustering/Section 24 - K-Means Clustering/Python/k_means_clustering.ipynb
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cleared-demos/quadrature_and_diff/Finite Differences vs Noise.ipynb
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SG/pipeline/ipynb/test.visualizeWSI.ipynb
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lab/lessons/Spark/01.ipynb
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estatistica-e-aplicacoes/aula09_pratica.ipynb
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ideas/vandr0.01.ipynb
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Funk SVD.ipynb
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notebooks/SDSS.ipynb
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docs/example_notebooks/Working with MLADI Files Example.ipynb
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Day10-NLP/spider.ipynb
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Dev/dataproc_gmm.ipynb
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work/2_plasmodium_rebalancing/20191104_plasmodium_rebalancing_run6.ipynb
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Prelim_Exam.ipynb
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sandbox/write_atoms_organized.ipynb
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lectures/L6/Exercise_1-Final.ipynb
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Chapter 6 - Statistical Modeling Fundamentals/Linear Algebra.ipynb
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Notebooks/sns.ipynb
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Data_Exploration.ipynb
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Fall 2020/Notebook/Week4/Week4_gauti.ipynb
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examples/tabular.ipynb
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P1.ipynb